Publications

 

ACT-R

Dancy, C. L. (2013). ACT-RΦ: A cognitive architecture with physiology and affect. BICA 2013: Papers from the Fourth Annual Meeting of the BICA Society, 6(0), 40–45. doi:10.1016/j.bica.2013.07.008
Reitter, D., Grossklags, J., & Nochenson, A. (2013). Risk-Seeking in a Continuous Game of Timing. In R. West & T. Stewart (Eds.), Proc. 12th International Conference on Cognitive Modelling (pp. 397–403).
Zhao, C., Morgan, J. H., & Ritter, F. E. (2013). Understanding human high-level spatial memory: An ACT-R model to integrate multi-level spatial cues and strategies. Biologically Inspired Cognitive Architectures, 3, 1–5.
Dancy, C. L., Ritter, F. E., & Berry, K. (2012). Towards adding a physiological substrate to ACT-R. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation (pp. 78–85). Amelia Island, FL: BRIMS Society.
Reitter, D., Keller, F., & Moore, J. D. (2011). A Computational Cognitive Model of Syntactic Priming. Cognitive Science, 35(4), 587–637. doi:10.1111/j.1551-6709.2010.01165.x
Reitter, D., & Lebiere, C. (2010). A cognitive model of spatial path planning. Computational and Mathematical Organization Theory, 16(3), 220–245. doi:10.1007/s10588-010-9073-3
Reitter, D. (2010). Metacognition and multiple strategies in a cognitive model of online control. Journal of Artificial General Intelligence, 2(2), 20–37. doi:10.2478/v10229-011-0007-3
Zhao, C., Paik, J., Morgan, J. H., & Ritter, F. E. (2010). Validating a high level behavioral representation language (Herbal): A docking study between for ACT-R. In Biologically Inspired Cognitive Architectures. Proceedings of the First Annual Meeting of the BICA Society. IOS PressProceedings of the First Annual Meeting of the BICA Society. IOS Press.
Reitter, D., & Lebiere, C. (2010). Did Social Networks Shape Language Evolution? A Multi-Agent Cognitive Simulation. In Proc. Cognitive Modeling and Computational Linguistics Workshop (CMCL) (pp. 9–17). Uppsala, Sweden: Association for Computational Linguistics.
Reitter, D., & Lebiere, C. (2010). Accountable Modeling in ACT-UP, a Scalable, Rapid-Prototyping ACT-R Implementation. In Proceedings of the 10th International Conference on Cognitive Modeling (ICCM) (pp. 199–204). Philadelphia, PA.
Lebiere, C., & Reitter, D. (2010). ACT-UP: A Cognitive Modeling Toolkit for Composition, Reuse and Integration. In Talk at MODSIM World Conference and Expo. Hampton, VA.
Reitter, D., & Lebiere, C. (2009). A subsymbolic and visual model of spatial path planning. In Proc. Behavior Representation in Modeling and Simulation (BRIMS).
Paik, J., Kim, J. W., & Ritter, F. E. (2009). A preliminary ACT-R compiler in Herbal. In Proceedings of ICCM - 2009- Ninth International Conference on Cognitive Modeling (pp. 466–467). England. Manchester, England: Manchester.
Reitter, D., & Keller, F. (2008). Structural priming in language production as the result of learning and spreading activation in an ACT-R model. Chapel Hill, NC.
Reitter, D. (2008). Context Effects in Language Production: Models of Syntactic Priming in Dialogue Corpora. University of Edinburgh.
Kim, J., Ritter, F. E., & Koubek, R. J. (2006). ESEGMAN: A substrate for ACT-R architecture and an Emacs Lisp application. In Proceedings of ICCM - 2006- Seventh International Conference on Cognitive Modeling. 375. Trieste, Italy: Edizioni Goliardiche375. Trieste, Italy: Edizioni Goliardiche.
St. Amant, R., Freed, A. R., & Ritter, F. E. (2005). Specifying ACT-R models of user interaction with a GOMS language. Cognitive Systems Research, 6(1), 71–88.
Reifers, A. L., Schenck, I. N., & Ritter, F. E. (2005). Modeling pre-attentive visual search in ACT-R. In Proceedings of the Cognitive Science Society. Mawah, NJ: Erlbaum.
Belavkin, R. V., & Ritter, F. E. (2004). OPTIMIST: A new conflict resolution algorithm for ACT-R. In Proceedings of the Sixth International Conference on Cognitive Modeling (pp. 40–45). Mahwah, NJ: Erlbaum.
Inguscio, L., Marucci, F. S., & Ritter, F. E. (2004). Il sistema di produzione ACT-R/PM: Un modello simulativo dei processi percettivo-morori. Congresso Nazionale della Sezione di Psicologia Sperimentale. local copy.
Ritter, F. E. (2003). Comments on Grant and Roberts & Paschler. In social processes in validation (pp. 129–130). notes included in the Proceedings of the ACT-R Workshop as part of a Symposium on Model fitting and parameter estimation, notes included in the Proceedings of the ACT-R Workshop: part of a Symposium on Model fitting and parameter estimation. Retrieved from http://acs.ist.psu.edu/papers/ritter03c.pdf
Ritter, F. E. (2003). Soar. In Encyclopedia of Cognitive Science. London: MacmillanLondon: Macmillan.
Ritter, F. E., Avraamides, M. N., Councill, I., Rooy, van, D., Q., S, K., … Rodrigues, I. M. (2002). Pre-task appraisal and caffeine: An architectural overlay for ACT-R. In Air Force Workshop on ACT-R Models of Human-System Interaction. AZ, January 2002Mesa, AZ, January 2002: Mesa.
Ritter, F. E., & Shiskowski, N. (2002). The ACT-R FAQ. acs.ist.psu.edu/act-r-faq.
Belavkin, R., & Ritter, F. E. (2000). Adding a theory of motivation to ACT-R, slides included in the Proceedings of the Seventh Annual ACT-R Workshop, p. 133-139. Carnegie-Mellon University: Department of Psychology.
Ritter, F. E. (2000). An example HCI task, interfaces, model, and verification for Single subjects design. ACT-R Summer School presentation.
Ritter, F. E. (2000). A role for cognitive architectures: Guiding user interface design, contribution to the Applications of Cognitive Architectures panel, slides included in the Proceedings of the Seventh Annual ACT-R Workshop, p. 85-91. Carnegie-Mellon University: Department of Psychology.
Ritter, F. E., & Wallach, D. P. (1998). Models of two-person games in ACT-R and Soar. In Proceedings of the Second European Conference on Cognitive Modelling (pp. 202–203). Thrumpton: Nottingham University Press. Thrumpton: Nottingham University Press.

Decision-Making

Ghafurian, M., & Reitter, D. (2014). Impatience, Risk Propensity and Rationality in Timing Games. In Proceedings of the 36th Annual Conference of the Cognitive Science Society (CogSci). Quebec, Canada.
Grossklags, J., & Reitter, D. (2014). How Task Familiarity and Cognitive Predispositions Impact Behavior in a Security Game of Timing. In Proceedings of the 27th IEEE Computer Security Foundations Symposium. Vienna.
Reitter, D., Grossklags, J., & Nochenson, A. (2013). Risk-Seeking in a Continuous Game of Timing. In R. West & T. Stewart (Eds.), Proc. 12th International Conference on Cognitive Modelling (pp. 397–403).
Morita, W., J., M., K., Kojima K., & Ritter, F. (2011). Modeling decision making on the use of automatation. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society,. Cognitive Science Society (pp. 1971–1976). Austin, TX.
Gonzalez, C., Lebiere, C., Juvina, I., Erev, I., Zinkevich, M., & Reitter, D. (2011). Scaling Individual Decision Making Models to Models of Social Networks. In Symposium at the 20th Behavior Representation in Modeling & Simulation (BRIMS). Provo, UT.
Reitter, D. (2010). Metacognition and multiple strategies in a cognitive model of online control. Journal of Artificial General Intelligence, 2(2), 20–37. doi:10.2478/v10229-011-0007-3
Reitter, D., Juvina, I., Stocco, A., & Lebiere, C. (2010). Resistance is Futile: Winning Lemonade Market Share through Metacognitive Reasoning in a Three-Agent Cooperative Game. In Proceedings of the 19th Behavior Representation in Modeling & Simulation (BRIMS). Charleston, SC.
Ritter, F. E., Kukreja, U., & St. Amant, R. (2007). Including a model of visual processing with a cognitive architecture to model a simple teleoperation task. Journal of Cognitive Engineering and Decision Making, 1(2), 121–147.
Ritter, F. E., & Wallach, D. P. (1998). Models of two-person games in ACT-R and Soar. In Proceedings of the Second European Conference on Cognitive Modelling (pp. 202–203). Thrumpton: Nottingham University Press. Thrumpton: Nottingham University Press.

General Cognitive Modeling

Evertsz, R., Lucas, A., Smith, C., Pedrotti, M., Ritter, F. E., Baker, R., & Burns, P. (2014). Enhanced behavioral realism for live fire targets. In Proceedings of the 23rd Conference on Behavior Representation in Modeling and Simulation. [online proceedings]. Centerville, OH: BRIMS Society.
Reitter, D. (2013). Computational and Underspecified Approaches to Standardization. Panel presented at the “Methods for Communicating the Structure and Content of a Cognitive Model”, a discussion panel at Human Factors and Ergonomics Society International Annual Meeting, San Diego, CA.
Ritter, F. E. (2013). Foreword. In Conte, R., Andrighetto, G., & Campennì, M. (Eds.), Minding norms: Mechanisms and dynamics of social order in agent societies (pp. ix–x). New York, NY: Oxford.
Lothian, J. M. (2011). High performance computing for agent-based cognitive modeling (Tech Report No. ACS 2011-2). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Zhao, C., Paik, J., Morgan, J. H., & Ritter, F. E. (2010). Validating a high level behavioral representation language (Herbal): A docking study between for ACT-R. In Biologically Inspired Cognitive Architectures. Proceedings of the First Annual Meeting of the BICA Society. IOS PressProceedings of the First Annual Meeting of the BICA Society. IOS Press.
Paik, J., Kim, J. W., Ritter, F. E., Morgan, J. H., Haynes, S. R., & Cohen, M. A. (2010). Building large learning models with Herbal. In D. D. Salvucci & G. Gunzelmann (Eds.), (pp. 187–191). Proceedings of ICCM - 2010- Tenth International Conference on Cognitive Modeling.
Yeh, K.-C. (2009). Toward Understanding the Cognitive Processes of Software Design in Novice Programmers. Pennsylvania State University.
Friedrich, M. B., & Frank E. Ritter, F. E. (2009). Reimplementing a diagrammatic reasoning model in Herbal. In Proceedings of ICCM - 2009- Ninth International Conference on Cognitive Modeling (pp. 438–439). England. Manchester, England: Manchester.
Ritter, F. E. (2009). 認知モデリングける二つのフロンティア. 感情とユーザビリティ (Two  cognitive modeling frontiers: Emotions and usability). 認知科学におけるモデルベースアプローチ」 (Transactions of the Japanese Society for Artificial  Intelligence), 24(2), 245–252.
Paik, J., Kim, J. W., & Ritter, F. E. (2009). A preliminary ACT-R compiler in Herbal. In Proceedings of ICCM - 2009- Ninth International Conference on Cognitive Modeling (pp. 466–467). England. Manchester, England: Manchester.
Ritter, F. E. (2008). Some frontiers of cognitive modeling: A modest research agenda exploring emotions and usability (Tech Report No. ACS 2008-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Kim, J. W. (2008). Procedural skills: From learning to forgetting. Unpublished Doctoral Dissertation, The Pennsylvania State University, University Park, PA (Tech Report No. ACS 2008-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
St. Amant, R., McBride, S. P., & Ritter, F. E. (2007). AI support for building cognitive models. In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06) (pp. 1663–1666). Menlo Park, CA: AAAI Press. Menlo Park, CA: AAAI Press.
Ritter, F. E., Haynes, S. R., Cohen, M., Howes, A., John, B., Best, B., … Vera, A. (2006). High-level Behavior Representation Languages Revisited. In Proceedings of ICCM - 2006- Seventh International Conference on Cognitive Modeling (pp. 404–407). Trieste, Italy: Edizioni Goliardiche.
Kukreja, U. (2005). Towards model-based evaluations of human-robot interfaces (Tech Report No. ACS 2005-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
St. Amant, R., Riedl, M. O., Ritter, F. E., & Reifers, A. (2005). Image processing in cognitive models with SegMan. In Proceedings of HCI International 2005. (Invited.) (Vol. 4 - Theories, Models and Processes in HCI).
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2005). Herbal: A high-level language and development environment for developing cognitive models in Soar. In Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation (pp. 177–182). 05-BRIMS-044. Orlando, FL: U. of Central Florida. 05-BRIMS-044. Orlando, FL: U. of Central Florida.
Ritter, F. E., Morgan, G. P., Stevenson, W. E., & Cohen, M. A. (2005). A tutorial on Herbal: A high-level language and development environment based on Protege for developing cognitive models in Soar. In L. Allender & T. Kelley (Eds.), Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation. Orlando, FL: U. of Central Florida.
Councill, I. G., Morgan, G. P., & Ritter, F. E. (2004). dTank: A competitive environment for distributed agents (Tech Report No. ACS 2004-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Cohen, M. A., & Ritter, F. E. (2004). Herbal Tutorial (Tech Report No. ACS 2004-2). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
St. Amant, R., & Ritter, F. E. (2004). Automated GOMS to ACT-R model generation. In Proceedings of the Sixth International Conference on Cognitive Modeling. Mahwah, NJ: Lawrence Erlbaum.
Cohen, M. A., Ritter, F. E., & Haynes, S. (2004). An introduction to Herbal. In Proceedings of the XXIV Workshop (pp. 75–77). University of Michigan. The Soar Group, University of Michigan: The Soar Group.
Freed, A. R. (2003). The effects of interface design on telephone dialing performance (Tech Report No. ACS 2003-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Shah, K., Rajyaguru, S., St. Amant, R., & Ritter, F. E. (2003). Image processing for cognitive modeling in dynamic gaming environments. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 189–194). Bamberg, Germany: Universitats-Verlag Bamberg.
Ritter, F. E., & Schooler, L. J. (2001). Learning Curve, The. In Editors-in-Chief:  Neil J. Smelser & Paul B. Baltes (Eds.), International Encyclopedia of the Social & Behavioral Sciences (pp. 8602–8605). Oxford: Pergamon.
Jones, G., & Ritter, F. E. (2000). Over-estimating cognition time: The benefits of using a task simulation. In: Simulating Human Agents, American Association for Artificial Intelligence Fall Symposium Series, 67–74.

Human-Computer Interaction

Baxter, G. D., Churchill, E. F., & Ritter, F. E. (2014). Addressing the fundamental error of design using the ABCS. AIS SIGHCI Newsletter, 13(1), 9–10.
Ritter, F. E. (2014). A satisfying way to teach HCI: Outreach through usability reports. In CHI 2014 Workshop, Developing a Living Curriculum to Support Global HCI Education. [online proceedings].
Ritter, F. E., Baxter, G. D., & Churchill, E. F. (2014). Foundations for designing user-centered systems: What system designers need to know about people. London, UK: 442 + xxx pages. Springer Science+Business Media.
Ritter, F. E. (2014). Semester projects on human-computer interaction as service and outreach. In Carroll, J. M. (Ed.), Innovative practices in teaching information sciences and technology: Experience reports and reflections (pp. 133–142). London: Springer.
Ritter, F. E., Yeh, K.-C. (Martin), Cohen, M. A., Weyhrauch, P., Kim, J. W., & Hobbs, J. N. (2013). Declarative to Procedural Tutors: A family of cognitive architecture-based tutors. In Proceedings of the 22nd Conference on Behavior Representation in Modeling and Simulation (pp. BRIMS2013–127.  108–113). Centerville, OH: BRIMS Society.
Haynes, S. R., Winkler, T. E., & Ritter, F. E. (2013). Modeling meaningful use as utility in emergency medical services. In IEEE International Conference on Healthcare Informatics 2013 (ICHI 2013) (p. Paper 29). New York, NY: IEEE.
Ritter, F. E., Kim, J. W., Morgan, J. H., & Carlson, R. A. (2011). Practical aspects of running experiments with human participants. Universal Access in HCI, Part I, HCII, 119–128.
Yeh, K.-C., & Chen, W.-F. (2011). Work in progress—Using a computer gaming strategy to facilitate undergraduates’ learning in a computer programming course: An experimental study. In Frontiers in Education Conference (FIE), 2011 (p. S4H–1).
Ritter, F. E. (2011). Risk-driven design. HCI Consortium Workshop, June.
Yeh, K.-C. (2009). Using an educational computer game as a motivational tool for supplemental instruction delivery for novice programmers in learning computer programming. In Society for Information Technology & Teacher Education International Conference (Vol. 2009, pp. 1611–1616).
Carroll, J. M., Haynes, S. R., Ritter, F. E., Rosson, M. B., & Zhang, X. L. (2008). The d-school in the i-school: HCI and design research. iConference, 2008.
St. Amant, R., Horton, T. E., & Ritter, F. E. (2007). Model-based evaluation of expert cell phone menu interaction. ACM Transactions on Computer-Human Interaction, 14(1).
Ritter, F. E., Van Rooy, D., St. Amant, R., & Simpson, K. (2006). Providing user models direct access to interfaces: An exploratory study of a simple interface with implications for HRI and HCI. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 36(3), 592–601.
Ritter, F. E., & Wood, A. B. (2005). Dismal: A spreadsheet for sequential data analysis and HCI experimentation. Behavior Research Methods, Instruments, and Computers, 37(1), 71–81.
St. Amant, R., Horton, T. E., & Ritter, F. E. (2004). Model-based evaluation of cell phone menu interaction. In Proceedings of the CHI’04 Conference on Human Factors in Computer Systems (pp. 343–350). New York: NY: ACM. New York, NY: ACM.
Ritter, F. E., & Wood, A. B. (2002). Dismal: A spreadsheet for sequential data analysis and HCI experimentation (Tech Report No. ACS 2002-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E., Freed, A. R., & Haskett, O. L. (2002). Discovering user information needs: The case of university department websites (Tech Report No. ACS 2002-3). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E., Van Rooy, D., & St. Amant, R. (2002). A user modeling design tool for comparing interfaces. In C. Kolski & J. Vanderdonckt (Eds.), Computer-Aided Design of User Interfaces III, Proceedings of the 4th International Conference on Computer-Aided Design of User Interfaces CADUI’2002 (pp. 111–118). Dordrecht: Kluwer Academics Publisher.
Ritter, F. E. (2000). An example HCI task, interfaces, model, and verification for Single subjects design. ACT-R Summer School presentation.
Ong, R., & Ritter, F. E. (1995). Mechanisms for routinely tying cognitive models to interactive simulations. In H. I. ’95 (Ed.), Osaka, Japan: July 1995. Baxter, Jones, & Young, 2000: superceeded by Ritter.
Ritter, F. E., Lochun, S., Bibby, P. A., & Marshall, S. (1994). Dismal: A free spreadsheet for sequential data analysis and HCI experimentation. In A. Trapp & N. Hammond (Eds.), Computers in Psychology ’94 (pp. 62–63). York (UK): CTI Centre for Psychology, U. of York. Reprinted in Psychology Software News, 5(2) (November 1994), Computers in Teaching Initiative Centre for Psychology, U. of York. pp. 57-58. Superceeded by Ritter & Wood, 2002.
Ritter, F. E., & Larkin, J. H. (1994). Developing process models as summaries of HCI action sequences. Human Computer Interaction’s Special Issue on Exploratory Sequential Data Analysis, 9(3), 345–383.
Kim, J. W., & Ritter, F. E. (0000-00-00 in press). Learning, forgetting, and relearning for menu- and keystroke-driven tasks: Relearning is important. Human-Computer Interaction.

Language

Reitter, D., & Moore, J. D. (2014). Alignment and Task Success in Spoken Dialogue. Journal of Memory and Language, 76, 29–46. doi:10.1016/j.jml.2014.05.008
Hale, J., & Reitter, D. (2013). Introduction to the Issue on Computational Models of Natural Language. Topics in Cognitive Science, 1–4.
Hale, J., & Reitter, D. (Eds.). (2013). Issue on Computational Models of Natural Language. Topics in Cognitive Science, 5(3), (11 papers). doi:10.1111/tops.12038
Diesner, J., & Reitter, D. (Eds.). (2012). Proc. Words and Networks 2012: Language Use in Socio-Technical Networks (WON2012). Chicago, IL: Association for Computing Machinery.
Reitter, D. (2012). Lexical Language Evolution in Networked Human Groups. In Words and Networks: Language Use in Socio-Technical Networks (WON 2012). Chicago, IL.
Reitter, D., Keller, F., & Moore, J. D. (2011). A Computational Cognitive Model of Syntactic Priming. Cognitive Science, 35(4), 587–637. doi:10.1111/j.1551-6709.2010.01165.x
Reitter, D., Sycara, K., Lebiere, C., Vinokurov, Y., Juarez, A., & Lewis, M. (2011). How teams benefit from communication policies: information flow in human peer-to-peer networks. In Proceedings of the 20th Behavior Representation in Modeling & Simulation (BRIMS) (pp. 138–145).
Reitter, D., & Lebiere, C. (2011). How groups develop a specialized domain vocabulary: A cognitive multi-agent model. Cognitive Systems Research, 12(2), 175–185. doi:10.1016/j.cogsys.2010.06.005
Zhao, C., Paik, J., Morgan, J. H., & Ritter, F. E. (2010). Validating a high level behavioral representation language (Herbal): A docking study between for ACT-R. In Biologically Inspired Cognitive Architectures. Proceedings of the First Annual Meeting of the BICA Society. IOS PressProceedings of the First Annual Meeting of the BICA Society. IOS Press.
Reitter, D., & Lebiere, C. (2010). On the Influence of Network Structure on Language Evolution. In R. Sun (Ed.), Proc. CogSci Workshop on Cognitive Social Sciences: Grounding the Social Sciences in the Cognitive Sciences. Portland, OR.
Reitter, D., & Lebiere, C. (2010). Did Social Networks Shape Language Evolution? A Multi-Agent Cognitive Simulation. In Proc. Cognitive Modeling and Computational Linguistics Workshop (CMCL) (pp. 9–17). Uppsala, Sweden: Association for Computational Linguistics.
Reitter, D., & Lebiere, C. (2009). Towards Explaining the Evolution of Domain Languages with Cognitive Simulation. In Proceedings of the 9th International Conference on Cognitive Modeling (ICCM). Manchester, UK.
Ritter, F. E. (2008). High-level behavior representation languages and moderators of behavior. The USMA Network Science Workshop, 15–17.
Reitter, D. (2008). The repetition of general lexical material boosts structural priming in language production. Chapel Hill, NC.
Reitter, D., & Keller, F. (2008). Structural priming in language production as the result of learning and spreading activation in an ACT-R model. Chapel Hill, NC.
Reitter, D. (2008). Context Effects in Language Production: Models of Syntactic Priming in Dialogue Corpora. University of Edinburgh.
Ritter, F. E., Haynes, S. R., Cohen, M., Howes, A., John, B., Best, B., … Vera, A. (2006). High-level Behavior Representation Languages Revisited. In Proceedings of ICCM - 2006- Seventh International Conference on Cognitive Modeling (pp. 404–407). Trieste, Italy: Edizioni Goliardiche.
Reitter, D., & Callaway, C. (2006). Methods, Requirements and Licenses for Shared NLG Resources. In Open Mic Session, Fourth International Natural Language Generation Conference.
Reitter, D., Moore, J. D., & Keller, F. (2006). Corpus-based Evidence for Syntactic Priming as Rule Repetition. Nijmegen, Netherlands.
Reitter, D., Keller, F., & Moore, J. D. (2006). Computational Modeling of Structural Priming in Dialogue. In Proceedings of the Human Language Technology Conference/North American Chapter of the Association for Computational Linguistics (HLT/NAACL) (pp. 121–124). New York, NY.
Reitter, D., Hockenmaier, J., & Keller, F. (2006). Priming Effects in Combinatory Categorial Grammar. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 308–316). Sydney, Australia.
Dzikovska, M. O., Reitter, D., Moore, J. D., & Zinn, C. (2006). Data-driven Modelling of Human Tutoring in Calculus. In C. Callaway (Ed.), Proceedings of the ECAI Workshop on Language-Enhanced Educational Technology (pp. 22–28). Riva del Garda, Italy.
St. Amant, R., Freed, A. R., & Ritter, F. E. (2005). Specifying ACT-R models of user interaction with a GOMS language. Cognitive Systems Research, 6(1), 71–88.
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2005). Herbal: A high-level language and development environment for developing cognitive models in Soar. In Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation (pp. 177–182). 05-BRIMS-044. Orlando, FL: U. of Central Florida. 05-BRIMS-044. Orlando, FL: U. of Central Florida.
Ritter, F. E., Morgan, G. P., Stevenson, W. E., & Cohen, M. A. (2005). A tutorial on Herbal: A high-level language and development environment based on Protege for developing cognitive models in Soar. In L. Allender & T. Kelley (Eds.), Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation. Orlando, FL: U. of Central Florida.
Dolfing, H., Reitter, D., Almeida, L., Beires, N., Cody, M., Gomes, R., … Zielinski, R. (2005). The FASiL Speech and Multimodal Corpora. In Proceedings INTER/EUROSPEECH 2005. Lisbon, Portugal.
Reitter, D. (2004). Hybrid Planning and Realization of Coherent Utterances for Multimodal Natural Language Dialogue Systems. University College Dublin.
Reitter, D. (2004). A Development Environment for Multimodal Functional Unification Generation Grammars. In Third International Conference on Natural Language Generation. 2nd Volume; posters. Brockenhurst, U.K.
Reitter, D., Panttaja, E., & Cummins, F. (2004). UI on the Fly: Generating a Multimodal User Interface. In Proceedings of Human Language Technology Conference 2004 / North American chapter of the Association for Computational Linguistics (HLT/NAACL-04). Boston.
Panttaja, E., Reitter, D., & Cummins, F. (2004). The Evaluation of Adaptable Multimodal System Outputs. In Proceedings of the DUMAS Workshop on Robust and Adaptive Information Processing for Mobile Speech Interfaces (pp. 69–76). Geneva, Switzerland.
Reitter, D. (2003). Simple Signals for Complex Rhetorics: On rhetorical analysis with rich-feature support vector models. Journal for Language Technology and Computational Linguistics (LDV Forum), 18(1/2), 38–52.
Reitter, D. (2003). Rhetorical Analysis with Rich-Feature Support Vector Models. University of Potsdam.
Reitter, D. (2002). Statistical Part-of-Speech Guessing for German: Support Vector Classifiers versus Voting. In Proceedings of the 12th Student Conference on Computational Linguistics (TaCoS). Potsdam, Germany.
Reitter, D., Covaci, S., Oltean, F., Bacanu, C., & Serbanuta, T. (2001). Hybrid Natural Language Processing in a Customer-Care Environment. In Proceedings of the 11th Student Conference on Computational Linguistics (TaCoS). Heidelberg, Germany.

Physiology

Dancy, C. L., Ritter, F. E., & Berry, K. (2012). Towards adding a physiological substrate to ACT-R. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation (pp. 78–85). Amelia Island, FL: BRIMS Society.
Ritter, F. E., Bittner, J. L., Kase, S. E., Evertsz, R., Pedrotti, M., & Busetta, P. (2012). CoJACK: A high-level cognitive architecture with demonstrations of moderators, variability, and implications for situation awareness. Biologically Inspired Cognitive Architectures, 1(1), 2–13.
Ritter, F. E., Dancy, C., & Berry, K. (2011). The case for including physiology in cognitive modeling. In Biologically Inspired Cognitive Architectures. 303. IOS Press: Amsterdam303. IOS Press: Amsterdam.
Ritter, F. E., & Yeh, K.-C. M. (2011). Modeling pharmacokinetics and pharmacodynamics on a mobile device to help caffeine users. In Augmented Cognition International Conference (pp. 528–535).
Ritter, F. E., & Yeh, K.-C. M. (2011). Modeling pharmacokinetics and pharmacodynamics on a mobile device to help caffeine users. In Foundations of Augmented Cognition. Directing the Future of Adaptive Systems (pp. 528–535). Springer Berlin Heidelberg.
Klein, L. C., Bennett, J. M., Whetzel, C. A., Granger, D. A., & Ritter, F. E. (2010). Caffeine and stress alter salivary α-Amylase levels in young men. Human Psychopharmacology: Clinical and Experimental, 25, 359–367. Retrieved from http://acs.ist.psu.edu/papers/kleinBWGR10.pdf
Kase, S. E., Ritter, F. E., & Schoelles, M. (2009). Caffeine’s effect on appraisal and mental arithmetic performance: A cognitive modeling approach tells us more. In Proceedings of ICCM - 2009- Ninth International Conference on Cognitive Modeling (pp. 39–46). Manchester, England. Retrieved from http://acs.ist.psu.edu/papers/kaseRS09.pdf
Ritter, F. E., Kase, S. E., Klein, L. C., Bennett, J., & Schoelles, M. (2009). Fitting a model to behavior tells us what changes cognitively when under stress and with caffeine (Technical Report). In Proceedings of the Biologically Inspired Cognitive Architectures Symposium at the AAAI Fall Syposium. Keynote presentation.
Ritter, F. E. (2008). High-level behavior representation languages and moderators of behavior. The USMA Network Science Workshop, 15–17.
Evertsz, R., Busetta, P., Pedrotti, M., Ritter, F. E., & Bittner, J. L. (2008). CoJACK - Achieving principled behaviour variation in a moderated cognitive architecture. In Proceedings of the 17th Conference on Behavior Representation in Modeling and Simulation. 08-BRIMS-025. Orlando, FL: U. of Central Florida08-BRIMS-025. Orlando, FL: U. of Central Florida.
Klein, L. C., Bennett, J. M., Whetzel, C. A., & Ritter, F. E. (2008). Daily caffeine use impacts neuroendocrine and cardiovascular responses to laboratory stress in healthy men. Presented at the Annual Meeting of the American Psychosomatic Society, Baltimore, MD, 70(3).
Ritter, F. E., Kase, S. E., Bhandarkar, D., Lewis, B., & Cohen, M. A. (2007). dTank updated: Steps towards exploring moderator-influenced behavior in a light-weight synthetic environment. In Proceedings of the 16th Conference on Behavior Representation in Modeling and Simulation (pp. 51–60). 07-BRIMS-014. Orlando, FL: U. of Central Florida. 07-BRIMS-014. Orlando, FL: U. of Central Florida.
Bennett, J. M., Whetzel, C. A., Ritter, F. E., Reifers, A., & Klein, L. C. (2006). Effects of caffeine and stress on cortisol and serial subtraction performance in young healthy men. Psychosomatic Medicine, 68(1).
Gluck, K., Gunzelmann, G., Gratch, J., Hudlicka, E., & Ritter, F. E. (2006). Modeling the impact of cognitive moderators on human cognition and performance. In Proceedings of the 2006 Conference of the Cognitive Science Society. 2658. Mahwah, NJ: Lawrence Erlbaum2658. Mahwah, NJ: Lawrence Erlbaum.
Klein, L. C., Whetzel, C. A., Bennett, J. M., Ritter, F. E., & Granger, D. A. (2006). Effects of caffeine and stress on salivary alpha-amylase in young men: A salivary biomarker of sympathetic activity. Psychosomatic Medicine, 68(1).
Whetzel, C. A., Ritter, F. E., & Klein, L. C. (2006). DHEA-S and cortisol responses to stress and caffeine in healthy young men: Is DHEA-S a reliable marker for stress? Psychosomatic Medicine, 68(1).
Ritter, F. E., Reifers, A. L., & Schoelles, M. J. (2005). Defining testable theories of pre-task appraisal stress (Tech Report No. ACS 2005-2). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E., Reifers, A., Klein, L. C., Quigley, K., & Schoelles, M. (2004). Using cognitive modeling to study behavior moderators: Pre-task appraisal and anxiety. In Proceedings of the Human Factors and Ergonomics Society (pp. 2121–2125). Santa Monica, CA: Human Factors and Ergonomics Society. Santa Monica, CA: Human Factors and Ergonomics Society.
Ritter, F. E., Avraamides, M. N., Councill, I., Rooy, van, D., Q., S, K., … Rodrigues, I. M. (2002). Pre-task appraisal and caffeine: An architectural overlay for ACT-R. In Air Force Workshop on ACT-R Models of Human-System Interaction. AZ, January 2002Mesa, AZ, January 2002: Mesa.
Ritter, F. E., Avraamides, M., & Councill, I. G. (2002). An approach for accurately modeling the effects of behavior moderators. In Proceedings of the 11th Computer Generated Forces Conference (pp. 29–40). 02-CGF-002. Orlando, FL: U. of Central Florida02-CGF-002. Orlando, FL: U. of Central Florida.
Ritter, F. E., & Avraamides, M. N. (2000). Steps towards including behavioural moderators in human performance models in synthetic environments (Tech Report No. ACS 2000-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Dancy, C. L., Ritter, F. E., & Berry, K. (0000-00-00 in press). Using a cognitive architecture with a physiological substrate to represent effects of psychological stress on cognition. Computational and Mathematical Organization Theory.

Soar

Georgeon, O. L., Ritter, F. E., & Haynes, S. R. (2009). Modeling bottom-up learning from activity in Soar. In Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation (pp. 65–72). 09-BRIMS-16. 09-BRIMS-16.
Haynes, S. R., Kannampallil, T. G., Cohen, M. A., Soares, A., & Ritter, F. E. (2008). Rampart: A service and agent-based architecture for anti-terrorism planning and resource allocation. In Proceedings of the First European Conference on Intelligence and Security Informatics (pp. 260–270). Berlin: Springer.
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2005). Herbal: A high-level language and development environment for developing cognitive models in Soar. In Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation (pp. 177–182). 05-BRIMS-044. Orlando, FL: U. of Central Florida. 05-BRIMS-044. Orlando, FL: U. of Central Florida.
Ritter, F. E., Morgan, G. P., Stevenson, W. E., & Cohen, M. A. (2005). A tutorial on Herbal: A high-level language and development environment based on Protege for developing cognitive models in Soar. In L. Allender & T. Kelley (Eds.), Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation. Orlando, FL: U. of Central Florida.
Cohen, M. A., Ritter, F. E., & Haynes, S. (2004). An introduction to Herbal. In Proceedings of the XXIV Workshop (pp. 75–77). University of Michigan. The Soar Group, University of Michigan: The Soar Group.
Kalus, T., & Ritter, F. E. (2003). The Soar Tutorial. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling. 318. Bamberg, Germany: Universitats-Verlag Bamberg.
Ritter, F. E. (2003). Soar. In Encyclopedia of Cognitive Science. London: MacmillanLondon: Macmillan.
Councill, I. G., Haynes, S. R., & Ritter, F. E. (2003). Explaining Soar: Analysis of existing tools and user information requirements. In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 63–68). Bamberg, Germany: Universitats-Verlag Bamberg.
Ritter, F. E., & Councill, I. G. (2002). A review of the 22nd Soar Workshop. AI Magazine, 23(3), 107–109.
Ritter, F. E., & Avraamides, M. (2001). Testing the Situation Awareness Panel. In Proceedings of the 21th Soar Workshop (pp. 35–39).
Ritter, F. E. (2000). The Soar FAQ and DERA Report. In Proceedings of the 20th Soar Workshop. 127127.
Ritter, F. E. (2000). SOAR/Tcl-PM: Including a widely applicable eye and hand in Soar. In Proceedings of the 20th Soar Workshop.
Lonsdale, P. R., & Ritter, F. E. (2000). Soar/Tcl-PM: Extending the Soar architecture to include a widely applicable virtual eye and hand. In N. Taatgen & J. Aasman (Eds.), Proceedings of the 3rd International Conference on Cognitive Modelling (pp. 202–209). Veenendaal (NL): Universal Press.
Ritter, F. E., & Lonsdale, P. R. (2000). Extending Tcl/Tk to provide a functional eye and hand for the Soar cognitive architecture. Talk presented at the Fifth Conference of the Australasian Cognitive Science Society.
Ritter, F. E., & Lonsdale, P. (2000). Extending Tcl/Tk to provide a functional eye and hand for the Soar cognitive modelling architecture. In To have appeared in Proceedings of the Fifth Biennial Australasian Cognitive Science Conference.
Ritter, F. E., & Young, R. M. (1999). Moving the Psychological Soar Tutorial to HTML: An example of using the Web to assist learning. In D. Peterson, R. J. Stevenson, & R. M. Young (Eds.), Proceedings of the AISB ’99 Workshop on Issues in Teaching Cognitive Science to Undergraduates (pp. 23–24). The Society of the study of Artificial Intelligence and Simulation of Behaviour.
Nerb, J., Ritter, F. E., & Krems, J. (1999). Knowledge level learning and the power law: A Soar model of skill acquisition in scheduling. In K. Special (Ed.), (pp. 20–29).
Ritter, F. E., & Wallach, D. P. (1998). Models of two-person games in ACT-R and Soar. In Proceedings of the Second European Conference on Cognitive Modelling (pp. 202–203). Thrumpton: Nottingham University Press. Thrumpton: Nottingham University Press.
Ritter, F. E., Jones, G., & Young, R. M. (1997). Report on Tutorial: Introduction to the Soar cognitive architecture. AI and Simulation of Behaviour Quarterly, 98(50).
Ritter, F. E., & Young, R. M. (1997). Invited lectures and practicals on Soar, German Autumn School in Cognitive Science, 18-22 September.
Ritter, F. E., Jones, G., & Young, R. M. (1996). Report on Tutorial 1: Introduction to the Soar cognitive architecture. AI and Simulation of Behaviour Quarterly, 95(18).
Ritter, F. E., & Baxter, G. D. (1996). Able, III: Learning in a more visibly principled way. In U. Schmid, J. Krems, & F. Wysotzki (Eds.), Proceedings of the First European Workshop on Cognitive Modeling (pp. 22–30). Berlin: Forschungsberichte des Fachbereichs Informatik, Technische Universität Berlin. Code vailable on the web in acs.ist.psu.edu/misc/nottingham/ccc/pub- soar/able/ Paper partially superceeded by Ritter, Jones, & Baxter 1998, but some low level details are elided.
Ritter, F. E. (1995). Soar: A cognitive architecture in perspective, Michon, J (pp. 297–301). 8(3: Philosophical Psychology.
Lehman, J., Newell, P., Altmann, E., Ritter, F., & McGinnis, T. (1994). The Soar introduction video (11 min.). School of Computer Science, Carnegie-Mellon University: The Soar Group.
Ritter, F. E., & Young, R. M. (1994). Practical introduction to the Soar cognitive architecture: Tutorial report. AI and Simulation of Behaviour Quarterly, 88(62).
Ritter, F. E. (Ed.). (1993). Proceedings of the EuroSoar 7 Workshop. November 1993: U. of Nottingham.
Ritter, F. E., & McGinnis, T. F. (1992). Manual for SX: A graphical display and interface for Soar in X windows. School of Computer science, Carnegie-Mellon University: The Soar Project.
Ritter, F. E., Hucka, M., & McGinnis, T. F. (1992). Soar-mode Manual. (No. CMU-CS-92-205).
Ritter, F. E. (April. (1991). The Developmental Soar Interface. Video (.
Ritter, F. E. (1991). TAQL-mode Manual. School of Computer Science, Carnegie-Mellon University: The Soar Project.
Ritter, F. E. (1991). How the Soar interface uses Garnet. Video (.
Baxter, G. D., & Ritter, F. E. (1995/2001). (n.d.). The Soar FAQ, acs.ist.psu.edu/soar-faq. Updated quarterly and stored at the U. of Nottingham Mirror Soar site mirror of US sites. Awarded a “Key Resource Award” viewable at.
Ritter, F. E., & Young, R. M. (1994. (n.d.). Psychological Soar Tutorial. Computer programs and overheads. Last revision 3/98. Developed with Gary Jones. Currently available at acs.ist.psu.edu/nottingham/pst/pst-ftp.html.

Social Cognition

Reitter, D., & Scerri, P. (2013). Smooth Dynamics, Good Performance in Cognitive-Agent Congestion Problems. In Proceedings of the 35th Annual Meeting of the Cognitive Science Society (pp. 3269–3274).
Scerri, P., & Reitter, D. (2013). Cognitive Instance-Based Learning Agents in a Multi-Agent Congestion Game. In Workshop on Information Sharing in Large Scale Multi-Agent Systems, at AAMAS 2013.
Reitter, D., & Lebiere, C. (2012). Social Cognition: Memory decay and adaptive information filtering for robust information maintenance. In Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-12) (pp. 242–248).
Zhao, C., Kaulakis, R., Morgan, J. H., Hiam, J. W., Sanford, J. P., Ritter, F. E., & Morgan, G. P. (2012). Socio-cognitive networks: Modeling the effects of space and memory on generative social structures. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation (pp. 24–31). Amelia Island, FL: BRIMS Society.
Orendovici, R., & Ritter, F. E. (2012). Social network analysis and simulation of the development of adversarial networks. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation (pp. 119–126). Amelia Island, FL: BRIMS Society.
Zhao, C., Kaulakis, R., Morgan, J. H., Hiam, J. W., & Ritter, F. E. (2012). Modeling a cognitively limited network in an agent-based simulation. In Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 2603–2608). Cognitive Science Society: Austin, TX. Cognitive Science Society: Austin, TX.
Diesner, J., & Reitter, D. (Eds.). (2012). Proc. Words and Networks 2012: Language Use in Socio-Technical Networks (WON2012). Chicago, IL: Association for Computing Machinery.
Reitter, D., & Scerri, P. (2012). Social Multi-Agent Learning with Simple and Cognitive Agents. In Poster at CAOSS 2012: Workshop on Computational and Online Social Science. New York, N.Y.
Reitter, D. (2012). Lexical Language Evolution in Networked Human Groups. In Words and Networks: Language Use in Socio-Technical Networks (WON 2012). Chicago, IL.
Reitter, D., & Lebiere, C. (2011). Towards Cognitive Models of Communication and Group Intelligence. In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society (pp. 734–739). Boston, MA.
Lothian, J. M. (2011). High performance computing for agent-based cognitive modeling (Tech Report No. ACS 2011-2). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Reitter, D., Sycara, K., Lebiere, C., Vinokurov, Y., Juarez, A., & Lewis, M. (2011). How teams benefit from communication policies: information flow in human peer-to-peer networks. In Proceedings of the 20th Behavior Representation in Modeling & Simulation (BRIMS) (pp. 138–145).
Reitter, D., & Lebiere, C. (2011). How groups develop a specialized domain vocabulary: A cognitive multi-agent model. Cognitive Systems Research, 12(2), 175–185. doi:10.1016/j.cogsys.2010.06.005
Qiu, B., Ivanova, K., Yen, J., Liu, P., & Ritter, F. E. (2011). Event-driven modeling of social networks. Journal of Social Computing and Cyber-Physical Systems, 1(1), 13–32.
Gonzalez, C., Lebiere, C., Juvina, I., Erev, I., Zinkevich, M., & Reitter, D. (2011). Scaling Individual Decision Making Models to Models of Social Networks. In Symposium at the 20th Behavior Representation in Modeling & Simulation (BRIMS). Provo, UT.
Mason, W., Reitter, D., Coman, A., & Hirst, B. (2011). Cognition and Social Dynamics: a New Approach to Emergent Phenomena. In Symposium at the 23rd Annual Convention of the Association for Psychological Science. Washington, D.C.
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2010). Applying software engineering to agent development. AI Magazine, 31(2), 25–44.
Morgan, J. H., Morgan, G. P., & Ritter, F. E. (2010). A preliminary model of participation for small groups. Computational and Mathematical Organization Science, 16, 246–270.
Reitter, D., Juvina, I., Stocco, A., & Lebiere, C. (2010). Resistance is Futile: Winning Lemonade Market Share through Metacognitive Reasoning in a Three-Agent Cooperative Game. In Proceedings of the 19th Behavior Representation in Modeling & Simulation (BRIMS). Charleston, SC.
Reitter, D., & Lebiere, C. (2010). On the Influence of Network Structure on Language Evolution. In R. Sun (Ed.), Proc. CogSci Workshop on Cognitive Social Sciences: Grounding the Social Sciences in the Cognitive Sciences. Portland, OR.
Reitter, D., & Lebiere, C. (2010). Did Social Networks Shape Language Evolution? A Multi-Agent Cognitive Simulation. In Proc. Cognitive Modeling and Computational Linguistics Workshop (CMCL) (pp. 9–17). Uppsala, Sweden: Association for Computational Linguistics.
Morgan, J. H., Morgan, G. P., Ritter, F. E., & Poncelin de Raucourt, V. (2009). A preliminary model of participation. In Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation (pp. 129–136). 09-BRIMS-27. 09-BRIMS-27.
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2009). Evaluating design: A formative evaluation of agent development environments used for teaching rule-based programming. In The Proceedings of the Information Systems Education Conference 2009 (pp. 1542–7382). Washington: v 26 ( DC): §1754. ISSN:v 26 (Washington DC): §1754. ISSN.
Reitter, D., & Lebiere, C. (2009). Towards Explaining the Evolution of Domain Languages with Cognitive Simulation. In Proceedings of the 9th International Conference on Cognitive Modeling (ICCM). Manchester, UK.
Ritter, F. E. (2008). High-level behavior representation languages and moderators of behavior. The USMA Network Science Workshop, 15–17.
Haynes, S. R., Kannampallil, T. G., Cohen, M. A., Soares, A., & Ritter, F. E. (2008). Rampart: A service and agent-based architecture for anti-terrorism planning and resource allocation. In Proceedings of the First European Conference on Intelligence and Security Informatics (pp. 260–270). Berlin: Springer.
Ritter, F. E., & Norling, E. (2006). Including human variability in a cognitive architecture to improve team simulation. In Cognition and multi-agent interaction: From cognitive modeling to social simulation (pp. 417–427). Cambridge: Cambridge University Press.
Ritter, F. E., Ceballos, R., Reifers, A. L., & Klein, L. C. (2005). Measuring the effect of dental work as a stressor on cognition (Tech Report No. ACS 2005-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Morgan, G. P., Ritter, F. E., Stevenson, W. E., Schenck, I. N., & Cohen, M. A. (2005). dTank: An environment for architectural comparisons of competitive agents. In L. Allender & T. Kelley (Eds.), Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation (pp. 133–140). 05-BRIMS-043. Orlando, FL: U. of Central Florida.
Daughtry, J. M., & Ritter, F. E. (2005). Understanding the behaviour of agents and cognitive models: CaDaDis 2, 119(4).
Norling, E., & Ritter, F. E. (2004). A parameter set to support psychologically plausible variability in agent-based human modelling. In The Third International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS04) (pp. 758–765). New York, NY: ACM.
Tor, K., Ritter, F. E., Haynes, S. R., & Cohen, M. A. (2004). CaDaDis: A tool for displaying the behavior of cognitive models and agents. In Proceedings of the 13th Conference on Behavior Representation in Modeling and Simulation (pp. 192–200). 04-BRIMS-032.. Orlando, FL: U. of Central Florida04-BRIMS-032.. Orlando, FL: U. of Central Florida.
Haynes, S. R., Councill, I. G., & Ritter, F. E. (2004). Responsibility-driven explanation engineering for cognitive models. In AAAI Workshop on Intelligent Agent Architectures: Combining the Strengths of Software Engineering and Cognitive Systems, 46–52.
Ritter, F. E. (2003). Comments on Grant and Roberts & Paschler. In social processes in validation (pp. 129–130). notes included in the Proceedings of the ACT-R Workshop as part of a Symposium on Model fitting and parameter estimation, notes included in the Proceedings of the ACT-R Workshop: part of a Symposium on Model fitting and parameter estimation. Retrieved from http://acs.ist.psu.edu/papers/ritter03c.pdf
Norling, E., & Ritter, F. E. (2001). Embodying the JACK agent architecture. In M. Stumptner, D. Corbett, & M. Brooks (Eds.), AI 2001: Advances in Artificial Intelligence (pp. 368–377). Proceedings of the 14th Australian Joint Conference on Artificial Intelligence.. Berlin: Springer.
Jones, G., & Ritter, F. E. (2000). Over-estimating cognition time: The benefits of using a task simulation. In: Simulating Human Agents, American Association for Artificial Intelligence Fall Symposium Series, 67–74.

Technical Reports

Hobbs, J. N., Ritter, F. E., & Morgan, J. H. (2012). Combat Lifesaver (D2P/CLS): A lifesaving tutor for battlefield injuries (unpublished ACS Tech. Note No. ACS TN 2012-1) (p. 1). Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Hobbs, J. N., Ritter, F. E., & Morgan, J. H. (2012). Combat Lifesaver (D2P/CLS): A lifesaving tutor for battlefield injuries (unpublished ACS Tech. Note No. ACS TN 2012-1) (p. 1). Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Yeh, K.-C., & Ritter, F. E. (2012). An initial evaluation of the D2P/MTT, a computer-based, Declarative to Procedural (D2P) theory driven moving target tutor (Tech Report No. ACS 2012-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E., Morgan, J. H., Hiam, J. W., & Kim, J. W. (2011). The Moving Target Tutor (MTT) – Teaching the declarative knowledge to shoot moving targets (unpublished ACS Tech. Note No. ACS TN 2011-5) (p. 2). Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Hiam, J., Zhao, C., & Ritter, F. E. (2011). VIPER: A text-based environment for intelligent agents (unpublished ACS Tech. Note No. ACS TN 2011-4) (p. 2). Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Sanford, J., & Ritter, F. E. (2011). Minimally invasive surgery simulator – Testing motor skill acquisition (unpublished ACS Tech. Note No. ACS TN 2011-3) (p. 1). Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Shemanski, D. R. (2011). Stop the terrorists! Team-based simulation of an international terrorist plot to acquire and use a weapon of mass destruction (Tech Report No. ACS 2011-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E. et al. (2011). Some useful papers for agent-based cognitive modeling (Tech Report No. ACS 2011-3). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Lothian, J. M. (2011). High performance computing for agent-based cognitive modeling (Tech Report No. ACS 2011-2). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E., Kim, J. W., & Morgan, J. H. (2009). Running behavioral experiments with human participants: A practical guide (Tech Report No. ACS 2009-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E. (2008). Some frontiers of cognitive modeling: A modest research agenda exploring emotions and usability (Tech Report No. ACS 2008-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Kim, J. W. (2008). Procedural skills: From learning to forgetting. Unpublished Doctoral Dissertation, The Pennsylvania State University, University Park, PA (Tech Report No. ACS 2008-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Kim, J. W., Ritter, F. E., & Koubek, R. J. (2006). User’s Guide for the Dismal Spreadsheet: Normalization Task. Study Booklet for Keyboard Users (unpublished ACS Tech. Note No. ACS TN 2006-2). Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State. Retrieved from http://acs.ist.psu.edu/reports/kimRK06-keyboard.pdf
Kim, J. W., Ritter, F. E., & Koubek, R. J. (2006). User’s Guide for the Dismal Spreadsheet: Normalization Task. Study Booklet for Mouse Users (unpublished ACS Tech. Note No. ACS TN 2006-1). Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State. Retrieved from http://acs.ist.psu.edu/reports/kimRK06-mouse.pdf
Ritter, F. E., Reifers, A. L., & Schoelles, M. J. (2005). Defining testable theories of pre-task appraisal stress (Tech Report No. ACS 2005-2). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E., Ceballos, R., Reifers, A. L., & Klein, L. C. (2005). Measuring the effect of dental work as a stressor on cognition (Tech Report No. ACS 2005-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Kukreja, U. (2005). Towards model-based evaluations of human-robot interfaces (Tech Report No. ACS 2005-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Councill, I. G., Morgan, G. P., & Ritter, F. E. (2004). dTank: A competitive environment for distributed agents (Tech Report No. ACS 2004-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Cohen, M. A., & Ritter, F. E. (2004). Herbal Tutorial (Tech Report No. ACS 2004-2). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Freed, A. R. (2003). The effects of interface design on telephone dialing performance (Tech Report No. ACS 2003-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E., & Wood, A. B. (2002). Dismal: A spreadsheet for sequential data analysis and HCI experimentation (Tech Report No. ACS 2002-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Sherry, R. R., & Ritter, F. E. (2002). Dynamic task allocation: Issues for implementing adaptive intelligent automation (Tech Report No. ACS 2002-2). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E., Freed, A. R., & Haskett, O. L. (2002). Discovering user information needs: The case of university department websites (Tech Report No. ACS 2002-3). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Avraamides, M. N. (2001). A brief manual for running a JSAF Demo and examining the Situation Awareness Panel (unpublished ACS Tech. Note). Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E., & Avraamides, M. (2001). Improving interfaces for CGFs through multidisciplinary evaluations: A new, broad approach (Tech Report No. ACS 2001-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Ritter, F. E., & Avraamides, M. N. (2000). Steps towards including behavioural moderators in human performance models in synthetic environments (Tech Report No. ACS 2000-1). University Park, PA: Applied Cognitive Science Lab, College of Information Sciences and Technology, Penn State.
Kim, J. W., & Ritter, F. E. (0000-00-00 in press). Learning, forgetting, and relearning for menu- and keystroke-driven tasks: Relearning is important. Human-Computer Interaction.

Miscellaneous

Reitter, D. (2014). Hungry Wolves, Creepy Sheepies: The Gamification of the Programmer’s Classroom. In J. M. Carroll (Ed.), Innovative Practices in Teaching Information Sciences and Technology (pp. 19–29). Springer. Retrieved from http://www.david-reitter.com/pub/reitter2014hungryWolves.pdf
Tseng, J.-T. (2013). The effect of heterogeneous agents in socio-cognitive networks (Unpublished MS thesis, Computer Science and Engineering, Penn State University, University Park, PA).
Haughton, N., Yeh, Kuo-Chuan (Martin), Nworie, J., & Romero, L. (2013). Digital disturbances, disorders, and pathologies: A discussion of some unintended consequences of technology in higher education. Educational Technology, 53(4), 3–16.
Ritter, F. E., Baxter, G., Kim, J. W., & Srinivasmurthy, S. (2013). Learning and retention. In J. D. Lee & A. Kirlik (Eds.), (pp. 125–142). The Oxford Handbook of Cognitive Engineering . New York, NY: Oxford.
Kim, J. W., Ritter, F. E., & Koubek, R. J. (2013). An integrated theory for improved skill acquisition and retention in the three stages of learning. Theoretical Issues in Ergonomics Science, 14(1), 22–37.
Ritter, F. E., Kim, J. W., Morgan, J. H., & Carlson, R. A. (2013). Running behavioral studies with human participants: A practical guide. Thousand Oaks, CA: Sage.
Morgan, J. H., Cheng, C.-Y., Pike, C., & Ritter, F. E. (2013). A design, tests, and considerations for improving keystroke and mouse loggers. Interacting with Computers, 25(3), 242–258.
Georgeon, O. L., & Ritter, F. E. (2012). An intrinsically-motivated schema mechanism to model and simulate emergent cognition. Cognitive Systems Research, 73–92.
Schaffer, S., & Reitter, D. (2012). Modeling Efficiency-guided Modality Choice in Voice and Graphical User Interfaces. In N. Rußwinkel, U. Drewitz, & H. van Rijn (Eds.), Proceedings of the 11th International Conference on Cognitive Modeling (ICCM) (p. 253⬚⬚–254). Berlin: Universitaetsverlag der TU Berlin.
Yeh, K.-C. M., & Ritter, F. E. (2012). Evaluating a Computer-Based, Declarative to Procedural (D2P) Theory Driven Training Tutor.
Hsieh, P.-H., & Martin Yeh, K.-C. (2012). CULTURAL EFFECTS ON PERCEPTIONS OF UNAUTHORIZED SOFTWARE COPYING. Journal of Computer Information Systems, 53(1), 42.
Georgeon, O., Mille, A., Bellet, T., Mathern, B., & Ritter, F. E. (2012). Supporting activity modelling from activity traces. Expert Systems, 29(3), 261–275.
Ritter, F. E., Morgan, J. H., & Kim, J. W. (2012). Practical aspects of running experiments with human participants. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation (pp. 234–240). Amelia Island, FL: BRIMS Society.
Kase, S. E., & Ritter, F. E. (2012). Light models of civilian support in blue-red operations. In ICCRTS, 2012(17).
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2012). Discovering and analyzing usability dimensions of concern. ACM Transactions on CHI, 19(2).
Kaulakis, R., Zhao, C., Morgan, J. H. H., W, J., Sanford, J. P., & Ritter, F. E. (2012). Defining factors of interest for large-scale socio-cognitive simulations. In Proceedings of ICCM - 2012- Eleventh International Conference on Cognitive Modeling (pp. 117–122). Berlin: Universitaetsverlag der TU Berlin. Berlin: Universitaetsverlag der TU Berlin.
Ritter, I. T. (SELECTED), & E, F. (2012). Using behavior representation models in risk-driven design. Plenary talk. Behavior Representation in Modeling and Simulation Conference.
Hobbs, J. N., Ritter, F. E., & Morgan, J. H. (2012). D2P/CLS: A Tutor for Combat Lifesavers. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation (pp. 226–227). Amelia Island, FL: BRIMS Society.
Kennedy, W. G., Ritter, F. E., Lebiere, C., Juvina, I., Oltramari, A., Gratch, J., & Young, R. M. (2012). Cognitive Modeling of Processes “Beyond Rational.” In Proceedings of ICCM - 2012- Eleventh International Conference on Cognitive Modeling (pp. 55–58). Berlin: Universitaetsverlag der TU Berlin. Berlin: Universitaetsverlag der TU Berlin. Retrieved from http://acs.ist.psu.edu/papers/kennedyRLJOGY12.pdf
Christou, G., Ritter, F. E., & Jacob, R. J. K. (2012). CODEIN - A new notation for GOMS to handle evaluations of reality-based interaction style interfaces. International Journal of Human-Computer Interaction, 28(3), 189–201.
Reitter, D., & Levy, R. (Eds.). (2012). Proc. 3rd Workshop on Cognitive Modeling and Computational Linguistics. Montréal, Quebec, Canada: Association for Computational Linguistics.
Ritter, F. E. (2011). Diversions and Resources. Tri-Service Cognitive Modeling Challenge Project Meeting, Keynote Presentation, Aberdeen Proving Ground, 5(2011).
Orendovici, R. (2011). Social network analysis and simulation of the development of advisarial networks. Unpublished MS thesis, Computer Science and Engineering, Penn State University, University Park, PA.
Yeh, K.-C., Xie, Y., & Ke, F. (2011). Teaching computational thinking to non-computing majors using spreadsheet functions. In Frontiers in Education Conference (FIE), 2011 (p. F3J–1).
Morita, J., Miwa, K., Maehigasi, A., Terai, H., Kojima, K., & Ritter, F. E. (2011). Modeling human-automation interaction in a unified cognitive architecture. In Proceedings of the 20th Conference on Behavior Representation in Modeling and Simulation (pp. 146–153). 11-BRIMS-022. 11-BRIMS-022.
Park, S.-H., Suh, I. H., Chien, J.-H., Paik, J.-H., Ritter, F. E., Oleynikov, D., & Siu, K.-C. (2011). Modeling surgical skill learning with cognitive simulation. In J. D. W. et al (Ed.), Medicine meets virtual reality 18 (pp. 428–432). IOS Press.
Ritter, F. E., Schoelles, M. J., Quigley, K. S., & Klein, L. C. (2011). Determining the number of model runs: Treating cognitive models as theories by not sampling their behavior. In S. Narayanan & L. Rothrock (Eds.), Human-in-the-loop simulations: Methods and practice (pp. 97–116). London: Springer-Verlag.
Kennedy, G. W., Ritter, F. E., & Best, B. J. (2011). Behavioral representation in modeling and simulation introduction to CMOT special issue - BRiMS 2010. Computational Mathematical and Organizational Theory, 17, 225–228.
Fang, Q., Liu, P., Yen, J., H., M. J., Shemanski, D. R., & Ritter, F. (2011). Analyzing intelligence on WMD attacks using threaded event-based simulation. In Critical Infrastructure Protection V: 5th IFIP WG 11 (pp. 23–25). 10 International Conference on Critical Infrastructure Protection, ICCIP 2011 Hanover, NH, USA, March, 2011 Revised Selected Papers, 201-216. : Heidelberg, Germany10 International Conference on Critical Infrastructure Protection, ICCIP 2011 Hanover, NH, USA, March, 2011 Revised Selected Papers, 201-216. Springer: Heidelberg, Germany: Springer.
Zhao, C., Hiam, J. W., Morgan, J. H., & Ritter, F. E. (2011). A multi-strategy spatial navigation model in a text-based environment. In Proceedings of the 20th Conference on Behavior Representation in Modeling and Simulation (pp. 251–258). 11-BRIMS-036. 11-BRIMS-036.
Keller, F., & Reitter, D. (Eds.). (2011). Proc. 2nd Workshop on Cognitive Modeling and Computational Linguistics. Portland, OR, USA: Association for Computational Linguistics.
Stark, R. F. (2010). Aiding the user input to virtual training environments: Virtual role players with speech and gesture recognition (Unpublished MS thesis, Information Sciences and Technology, Penn State University, University Park, PA).
Gluck, K. A., Stanley, C. T., L. Richard Moore, J., Reitter, D., & Halbrügge, M. (2010). Exploration for Understanding in Model Comparisons. Journal of Artificial General Intelligence, 2(2), 88–107. doi:10.2478/v10229-011-0011-7
Yeh, K.-C. M., Gregory, J. P., & Ritter, F. E. (2010). One Laptop per Child: Polishing up the XO Laptop user experience. Ergonomics in Design: The Quarterly of Human Factors Applications, 18(3), 8–13.
Baumann, M. R. K., Krems, J. F., & Ritter, F. E. (2010). Learning from examples does not prevent order effects in belief revision. Thinking & Reasoning, 16(2), 98–130.
Velazquez, M. A., & Frank E. Ritter, F. E. (2010). External factors affecting perceived usability: A closer look at the effect of emotion prior to interaction. In the 7th International Conference on Design & Emotion. Chicago: IIT Institute of Design: , IL. IIT Institute of Design: Chicago, IL.
Kennedy, W. G., Ritter, F. E., & Best, B. J. (2010). Behavioral Representation in Modeling and Simulation Introduction to CMOT Special Issue - BRiMS 2009. Computational and Mathematical Organization Theory, 16(3), 217–219.
Georgeon, O. L., Morgan, J. H., & Ritter, F. E. (2010). An algorithm for self-motivated hierarchical sequence learning. In D. D. Salvucci & G. Gunzelmann (Eds.), (pp. 73–78). Proceedings of ICCM - 2010- Tenth International Conference on Cognitive Modeling.
Warwick, W., Dutt, V., Gluck, K. A., & Reitter, D. (2010). Results and Lessons Learned from the 2009 DSF Model Comparison Challenge. In Symposium at the 19th Behavior Representation in Modeling & Simulation Conference. Charleston, SC.
Lebiere, C., Stocco, A., Reitter, D., & Juvina, I. (2010). High-Fidelity Cognitive Modeling to Real-World Applications. In Proceedings of the NATO Workshop on Human Modeling for Military Application. Amsterdam, NL.
Ritter, F. E. (2009). Two cognitive modeling frontiers: Emotions and usability. Journal of Japanese AI Research, 24(2), 241–249.
Kase, S. E., Ritter, F. E., & Schoelles, M. (2009). Serial subtraction errors revealed. In Proceedings of the 31th Annual Conference of the Cognitive Science Society (pp. 1551–1556). Cognitive Science Society: Austin, TX. Cognitive Science Society: Austin, TX.
Evertsz, R., Pedrotti, M., Busetta, P., Acar, H., & Ritter, F. E. (2009). Populating VBS2 with realistic virtual actors. In Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation (pp. 1–8). 09-BRIMS-04. 09-BRIMS-04.
Ritter, F. E. (2009). Foreword. In J. Bach (Ed.), Principles of synthetic intelligence: Building blocks for an architecture of motivated cogntion. v-vi. New York, NY: Oxford University Press.
Ritter, F. E. (2009). Tutorial on: Human-system integration in the system development process: A new look. In Proceedings of ICCM - 2009- Ninth International Conference on Cognitive Modeling. EnglandManchester, England: Manchester.
Haynes, S. R., Cohen, M. A., & Ritter, F. E. (2009). Design patterns for explaining intelligent systems. International Journal of Human-Computer Studies, 67(1), 99–110.
Kase, S., & Ritter, F. E. (2009). A high performance approach to model calibration and validation. In Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation (pp. 39–46). 09-BRIMS-10. 09-BRIMS-10.
Reitter, D. (2009). Two-level, multi-strategy memory based control. Manchester, UK.
Reitter, D., Lebiere, C., Lewis, M., Wang, H., & Ma, Z. (2009). A Cognitive Model of Visual Path Planning in a Multi-Robot Control System. In Proceedings Systems Man Cybernetics 2009 (IEEE-SMC). San Antonio, TX: 7 pages.
Friedrich, M. B. (2008). Implementierung von schematischen Denkstrategien in einer höheren Programmiersprache: Erweitern und Testen der vorhandenen Resultate durch Erfassen von zusätzlichen Daten und das Erstellen von weiteren Strategien (Implementing diagrammatic reasoning strategies in a high level language: Extending and testing the existing model results by gathering additional data and creating additional strategies). Faculty of Information Systems and Applied Computer Science, University of Bamberg, Germany.
Kase, S., Ritter, F. E., & Scholles, M. (2008). From modeler-free individual data fitting to 3-D parametric prediction landscapes: A research expedition. In Proceedings of the 2006 Conference of the Cognitive Science Society (pp. 1398–1403). Cognitive Science Society: Austin, TX. Cognitive Science Society: Austin, TX.
Evertsz, R., Ritter, F. E., Busetta, P., & Pedrotti, M. (2008). Realistic behaviour variation in a BDI-based cognitive architecture. In Proceedings of the SimTecT ’08 Conference. SIAA Ltd.: Melbourne, AustraliaSIAA Ltd.: Melbourne, Australia.
Christou, G., Ritter, F. E., & Jacob, R. J. K. (2008). Modeling prehensile actions for the evaluation of tangible user interfaces. In Proceedings of ITI 08 International Conference of Information Technology Interfaces. Croatia. IEEE XploreCavtat/Dubrovnik, Croatia. IEEE Xplore: Cavtat/Dubrovnik.
Ritter, F. E., & Bibby, P. A. (2008). Modeling how, when, and what learning happens in a diagrammatic reasoning task. Cognitive Science, 32, 862–892.
Ritter, F. E. (2008). dTank: A lightweight synthetic environment for teaching and theoretical research. In J. Hansberger (Ed.), Human Behavioral Synthetic Research Environments (HB-SRE) Symposium. In Proceedings of the 17th Conference on Behavior Representation in Modeling and Simulation, 08-BRIMS-034. U. of Central Florida: Orlando, FL.
Reitter, D., & Moore, J. D. (2007). Successful dialogue requires syntactic alignment. La Jolla, CA.
Reitter, D., Keller, F., & Hockenmaier, J. (2007). Corpus-based evidence against sequence priming. La Jolla, CA.
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2007). Using reflective learning to master opponent strategy in a competative environment (pp. 157–162). Oxford, UK: Taylor & Francis/Psychology Press.
Ritter, F. E. (2007). The rise of cognitive architectures. In I. Models (Ed.), . v-vi. New York, NY: Oxford University Press.
Bernard, M. L., Forsythe, J. C., Allender, L., Cohn, J., Radvansky, G., & Ritter, F. E. (2007). The next generation of cognitive modeling tools: Opportunities, challenges and basic needs. In Proceedings of the Human Factors and Ergonomics Society (pp. 799–801). Santa Monica, CA: Human Factors and Ergonomics Society. Santa Monica, CA: Human Factors and Ergonomics Society.
Nerb, J., Ritter, F. E., & Langley, P. (2007). Rules of order: Process models of human learning. In F. E. Ritter, J. Nerb, T. O’Shea, & E. Lehtinen (Eds.), In order to learn: How the sequences of topics affect learning (pp. 57–69). Oxford University Press.
Evertsz, R., Ritter, F. E., Russell, S., & Shepherdson, D. (2007). Modeling rules of engagement in computer-generated forces. In Proceedings of the 16th Conference on Behavior Representation in Modeling and Simulation (pp. 123–134). Orlando, FL: U. of Central Florida. 07-BRIMS-021. Orlando, FL: U. of Central Florida. 07-BRIMS-021.
Ritter, F. E., Reifers, A. L., Klein, L. C., & Schoelles, M. (2007). Lessons from defining theories of stress (pp. 254–262). New York, NY: Oxford University Press.
Kim, J. W., Koubek, R. J., & Ritter, F. E. (2007). Investigation of procedural skills degradation from different modalities (pp. 255–260). Oxford, UK: Taylor & Francis/Psychology Press.
Kase, S. E., Ritter, F. E., & Schoelles, M. (2007). Using HPC and PGAs to optimize noisy computational models of cognition. In Proceedings of International Joint Conferences on Computer. and System Sciences, and Engineering, CISSE 2007Information, and System Sciences, and Engineering, CISSE 2007: Information.
Ritter, F. E., Schoelles, M., Klein, L. C., & Kase, S. E. (2007). Modeling the range of performance on the serial subtraction task (pp. 299–304). Oxford, UK: Taylor & Francis/Psychology Press.
Ritter, F. E., Nerb, J., & Lehtinen, E. (2007). Getting things in order: Collecting and analysing data on learning. In F. E. Ritter, J. Nerb, T. O’Shea, & E. Lehtinen (Eds.), In order to learn: How the sequence of topics influence learning (pp. 81–92). New York, New York: Oxford University Press.
Ritter, F. E., & Nerb, J. (2007). Call to order: How sequence effects in humans and artificial systems illuminate each other. In F. E. Ritter, J. Nerb, T. O’Shea, & E. Lehtinen (Eds.), In order to learn: How the sequences of topics affect learning (pp. 3–15). Oxford University Press.
Kim, J., & Ritter, F. E. (2007). Automatically recording keystrokes in public clusters with RUI: Issues and sample answers. In Proceedings of the 29th Annual Conference of the Cognitive Science Society. 1787. Austin, TX: Cognitive Science Society1787. Austin, TX: Cognitive Science Society.
Reitter, D., & Keller, F. (2007). Against Sequence Priming: Evidence from Constituents and Distituents in Corpus Data. In Proceedings of the 29th Annual Conference of the Cognitive Science Society (CogSci) (pp. 1421–1426). Nashville, TN.
Reitter, D., & Moore, J. D. (2007). Predicting Success in Dialogue. In Proc. 45th Annual Meeting of the Association of Computational Linguistics (pp. 808–815). Prague, Czech Republic.
Chen, W.-F., & Yeh, K.-C. (2006). Work in Progress: Creating a Case-Based Reasoning Digital Library to Improve Learning in an Introductory Programming Course. In Frontiers in Education Conference, 36th Annual (pp. 21–22).
Kukreja, U., Stevenson, W. E., & Ritter, F. E. (2006). RUI – Recording User Input from interfaces under Windows and Mac OS X. Behavior Research Methods, 38(4), 656–659.
Girouard, A., Smith, N. W., & Ritter, F. (2006). Lessons from decompiling an embodied cognitive model. In Cognitio Workshop.
Reitter, D., Moore, J. D., & Keller, F. (2006). Priming of Syntactic Rules in Task-Oriented Dialogue and Spontaneous Conversation. In Proceedings of the 28th Annual Conference of the Cognitive Science Society (CogSci) (pp. 685–690). Vancouver, Canada.
Hachey, B., Murray, G., & Reitter, D. (2006). Dimensionality Reduction Aids Term Co-Occurrence Based Multi-Document Summarization. In Proceedings of the COLING-ACL Workshop Task-Focused Summarization and Question Answering 2006 (pp. 1–7). Sydney, Australia.
Reviews, & Stevenson, R. (PUBLISHED). (2005). W., & Ritter, F. (2006). Review of "BBN’s Earliest Days: Founding a Culture of Engineering Creativity Beranek L, 27(2), 6–14.
Ritter, F. E., Freed, A. R., & Haskett, O. (2005). User information needs: The case of university department web sites. ACM Interactions, 12(5), 19–27.
Morgan, G. P., Haynes, S. R., Ritter, F. E., & Cohen, M. A. (2005). Increasing efficiency of the development of user models. IEEE and Department of Systems and Information Engineering, University of Virginia: Charlottesville, VA.
Inguscio, L., & Ritter, F. E. (2005). Applied Cognitive Science Laboratory at the Pennsylvannia State University (Laboratory Notes). Cognitive Processing: International Quarterly of Cognitive Science, 6(2), 142–146.
Hachey, B., Murray, G., & Reitter, D. (2005). The Embra System at DUC 2005: Query-oriented Multi-document Summarization with a Very Large Latent Semantic Space. In Document Understanding Conference 2005. Vancouver, Canada.
Kukreja, U. (2004). Towards model-based evaluations of human-robot interfaces (Unpublished MS thesis, Department of Computer Science and Engineering, The Pennsylvania State University).
Kase, S. E., & Ritter, F. E. (2004). The gender factor in computer anxiety: Perspectives in IT. Encylopedia of Information Science and Technology.
Ritter, F. E. (2004). Choosing and getting started with a cognitive architecture to test and use human-machine interfaces. MMI-Interaktiv-Journal’s Special Issue on Modeling and Simulation in Human-Machine Systems, 7, 17–37.
Tor, K., & Ritter, F. E. (2004). Using a genetic algorithm to optimize the fit of cognitive models. In Proceedings of the Sixth International Conference on Cognitive Modeling (pp. 308–313). Mahwah, NJ: Lawrence Erlbaum. Mahwah, NJ: Lawrence Erlbaum.
Sun, S., Councill, I., Fan, X., Ritter, F. E., & Yen, J. (2004). Comparing teamwork modeling in an empirical approach. In Proceedings of the Sixth International Conference on Cognitive Modeling (pp. 388–389). Mahwah, NJ: Lawrence Erlbaum. Mahwah, NJ: Lawrence Erlbaum.
Tor, K., Haynes, S. R., Ritter, F. E., & Cohen, M. A. (2004). Categorical data displays generated from three cognitive architectures illustrate their behavior. In Proceedings of the International Conference on Cognitive Modeling (pp. 302–307). Mahwah, NJ: Lawrence Erlbaum. Mahwah, NJ: Lawrence Erlbaum.
Belavkin, R. V., & Ritter, F. E. (2003). The use of entropy for analysis and control of cognitive models. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 21–26). Bamberg, Germany: Universitats-Verlag Bamberg.
Ritter, F. E., Shadbolt, N. R., Elliman, D., Young, R., Gobet, F., & Baxter, G. D. (2003). Techniques for modeling human and organizational behaviour in synthetic environments: A supplementary review. Wright-Patterson Air Force Base, OH: Human Systems Information Analysis Center.
Jones, G., & Ritter, F. E. (2003). Production systems and rule-based inference. In Encyclopedia of Cognitive Science, 741–747.
Reitter, D., & Stede, M. (2003). Step by step: underspecified markup in incremental rhetorical analysis. In Proceedings of the 4th International Workshop on Linguistically Interpreted Corpora (LINC-03) (at EACL 2003) (pp. 77–84). Budapest, Hungary.
Mudgett, D. R., Freed, A. R., & Ritter, F. E. (2002). Web-based resources for teaching discrete mathematics to students of information sciences and technology. IEEE Learning Technology, 4(3), 9–10.
Ritter, F. E., Freed, A. R., & Haskett, O. L. (2002). Discovering user information needs: The case of university department websites (No. 2002-3). School of Information Sciences and Technology, Penn State: Applied Cognitive Science Lab.
Avraamides, M., & Ritter, F. E. (2002). Using multidisciplinary expert evaluations to test and improve cognitive model interfaces. In Proceedings of the 11th Computer Generated Forces Conference (pp. 553–562). 02-CGF-100. Orlando, FL: U. of Central Florida02-CGF-100. Orlando, FL: U. of Central Florida.
Baxter, G. D., & Ritter, F. E. (2002). A review of “A multidisciplinary approach to human-maching systems development: Cognitive Engineering in the Aviation Domain” edited by Nadine B. Sarter and Rene Amalberti, 47(4), 362–364.
Berger, D., Reitter, D., & Stede, M. (2002). XML/XSL in the Dictionary: The Case of Discourse Markers. In Proceedings of the 2nd Workshop on NLP and XML (NLPXMP-2002), (at COLING 2002). Taipei, Taiwan.
Reitter, D. (Ed.). (2002). Proceedings of the 12th Student Conference on Computational Linguistics (TaCoS). Potsdam, Germany: University of Potsdam.
Ritter, F. E., Baxter, G. D., Jones, G., & Young, R. M. (2001). User interface evaluation: How cognitive models can help. In J. Carroll (Ed.), Human-computer interaction in the new millenium (pp. 125–147). Reading, MA: Addison-Wesley. Also see Ritter, Baxter, Jones, and Young, 2000.
Ritter, F. E. (2001). Review of the Third International Conference on Cognitive Modelling. Cognitive Systems Research, 1(4), 251–252.
Ritter, F. E., & Avraamides, M. (2001). Improving interfaces for CGFs through multidisciplinary evaluations: A new, broad approach (No. 2001-1).
Ritter, F. E., & Young, R. M. (2001). Embodied models as simulated users: Introduction to this special issue on using cognitive models to improve interface design. International Journal of Human-Computer Studies, 55, 1–14.
Cheyne, T., & Ritter, F. E. (2001). Targetting respondents on the Internet successfully and responsibly. Communications of the ACM, 44(4), 94–98.
Ritter, F. E. (2001). Preliminary Example Applications of Cognitive Models to Telephone Design. Talk presented at the Navy Research Lab.
Ritter, F. E., & Bibby, P. (2001). Modeling how and when learning happens in a simple fault-finding task. In Proceedings of ICCM - 2001 - Fourth International Conference on Cognitive Modeling (pp. 187–192). Mahwah, NJ: Lawrence Erlbaum. Mahwah, NJ: Lawrence Erlbaum.
Ritter, F. E. (2000). Cognitive modeling. DARPA Human Robotics Interface Workshop, 29–30.
Ritter, F. E., & Bibby, P. A. (2000). Modeling how and when learning happens in a diagrammatic reasoning task. Talk Presented at the Fifth Conference of the Australasian Cognitive Science Society.
Jones, G., Ritter, F. E., & Wood, D. J. (2000). Using a cognitive architecture to examine what develops. Psychological Science, 11(2), 93–100.
Ritter, F. E., Baxter, G. D., Jones, G., & Young, R. M. (2000). Supporting cognitive models as users. ACM Transactions on Computer-Human Interaction, 7(2), 141–173.
Ritter, F. E., Baxter, G. D., Jones, G., & Young, R. M. (2000). Summary of “Supporting cognitive models as users”. research alerts [sic] in interactions [sic]. VII., 16–17.
Ritter, F. E. (2000). Review of the Third International Cognitive Modelling Conference. AI and Simulation of Behaviour Quarterly.
Gobet, F., & Ritter, F. E. (2000). Individual Data Analysis and Unified Theories of Cognition: A methodological proposal. In N. Taatgen & J. Aasman (Eds.), Proceedings of the 3rd International Conference on Cognitive Modelling (pp. 150–157). Veenendaal (NL): Universal Press.
Kuk, G., Arnold, M., & Ritter, F. E. (1999). Using event history analysis to model the impact of workload on an air traffic tactical controller’s operations. Ergonomics, 42(9), 1133–1148.
Belavkin, R. V., Ritter, F. E., & Elliman, D. G. (1999). Towards including simple emotions in a cognitive architecture in order to fit children’s behaviour better. In Proceedings of the 1999 Conference of the Cognitive Science Society. 784. Mahwah, NJ: Lawrence Erlbaum784. Mahwah, NJ: Lawrence Erlbaum. Retrieved from http://acs.ist.psu.edu/papers/belavkinRE99.pdf
Ritter, F. E., Belavkin, R. V., & Elliman, D. G. (1999). Towards including simple emotions in a cognitive architecture in order to fit behaviour better. Poster at the BCS’s "Workshop on Affective Computing: The role of emotion in Human Computer Interaction.".
Golightly, D., Hone, K. S., & Ritter, F. E. (1999). Speech interaction can support problem solving. In M. A. Sasse & C. Johnson (Eds.), Human-Computer Interaction – Interact ’99 (pp. 149–155). IOS Press.
Baxter, G. D., & Ritter, F. E. (1999). Towards a classification of state misinterpretation. In D. Harris (Ed.), The 2nd International Conference on Engineering Psychology and Cognitive Ergonomics (pp. 35–42). Oxford: Ashgate.
Ritter, F. E., Shadbolt, N. R., Elliman, D., Young, R., Gobet, F., & Baxter, G. D. (1999). Techniques for modelling human performance in synthetic environments: A supplementary review. Wright-Patterson Air Force Base, OH: Human Systems Information Analysis Center.
Byrne, M., Chong, R., Freed, M., Ritter, F. E., & Gray, W. (1999). Symposium on Integrated models of perception, cognition, and action. In Proceedings of the 1999 Conference of the Cognitive Science Society. 1. Mahwah, NJ: Lawrence Erlbaum1. Mahwah, NJ: Lawrence Erlbaum.
Young, R. M., & Ritter, F. E. (1999). Report on the Second European Conference on Cognitive Modelling. AI and Simulation of Behaviour Quarterly, 101, 10–11.
Ritter, F. E., & Young, R. M. (1999). Report on the AISB’99 Workshop on “Issues in Teaching Cognitive Science to Undergraduates.” AI and Simulation of Behaviour Quarterly, 102, 7–8. Retrieved from http://acs.ist.psu.edu/papers/ritterY99b.pdf
Ritter, F. E. (1998). The nature of improvement: The power law, feeling of knowing, and strategies (Vol. 2).
Delaney, P. F., Reder, L. M., Staszewski, J. J., & Ritter, F. E. (1998). The strategy specific nature of improvement: The power law applies by strategy within task. Psychological Science, 9(1), 1–8.
Ritter, F. E., & Young, R. M. (Eds. . (1998). Proceedings of the Second European Conference on Cognitive Modelling. Thrumpton (UK): Nottingham University Press, 6–67.
Jones, G., & Ritter, F. E. (1998). Initial explorations of modifying architectures to simulate cognitive and perceptual development. In Proceedings of the Second European Conference on Cognitive Modelling (pp. 44–51). Nottingham: Nottingham University Press. superceeded by Jones, Ritter, & Wood 2000. Nottingham: Nottingham University Press. superceeded by Jones, Ritter, & Wood 2000.
Jones, G., & Ritter, F. E. (1998). Simulating development by modifying architectures. In Proceedings of the Cognitive Science Society (pp. 543–548). Madison, WI: Lawrence Earlbaum. Madison, WI: Lawrence Earlbaum.
Ritter, F. E., Jones, R. M., & Baxter, G. D. (1998). Reusable models and graphical interfaces: Realising the potential of a unified theory of cognition. In U. Schmid, J. Krems, & F. Wysotzki (Eds.), Mind modeling - A cognitive science approach to reasoning, learning and discovery (pp. 83–109). Lengerich (Germany): Pabst Scientific Publishing.
Jones, G., & Ritter, F. E. (1997). Modelling transitions in childrens’ development by starting with adults. In European Conference on Cognitive Science (pp. 62–67). UK. superceeded by Jones, Ritter, & Wood, 2000. Manchester, UK. superceeded by Jones, Ritter, & Wood, 2000: Manchester.
Ritter, F. (1997). WWW presentation of overheads & exercises. CTI Psychology Software News, 7(2).
Ritter, F. E., & Bibby, P. A. (1997). Modelling learning as it happens in a diagramatic reasoning task (No. 45). Department of Psychology, University of Nottingham.
Baxter, G. D., & Ritter, F. E. (1997). Model-computer interaction: Implementing the action-perception loop for cognitive models. In D. Harris (Ed.), The 1st International Conference on Engineering Psychology and Cognitive Ergonomics (pp. 215–223). vol. 2. October 1996, Stratford-upon-Avon: Ashgate. Superceeded by Ritter, Baxter, Jones, & Young, 2000.
Baxter, G. D., & Ritter, F. E. (1996). Designing abstract visual perceptual and motor action capabilities for use by cognitive models (No. 36). Department of Psychology, University of Nottingham.
Ritter, F. E., & Baxter, G. D. (1996). Programming by Tenet Systems. The Nottingham Interaction Architecture as Realised in SLGMS.
Bass, E. J., Baxter, G. D., & Ritter, F. E. (1995). Creating models to control simulations: A generic approach. AI and Simulation of Behaviour Quarterly, 93, 18–25.
Ritter, F. E., & Major, N. P. (1995). Useful mechanisms for developing simulations for cognitive models. AI and Simulation of Behaviour Quarterly, 7–18.
Nichols, S., & Ritter, F. E. (1995). Theoretically motivated tool for automatically generating command aliases. In Proceedings of CHI ’95 (pp. 393–400).
Arnold, M., Kuk, G., & Ritter, F. E. (1995). MacSHAPA review. CTI Psychology Software News, 6(1), 18–20.
Ritter, F. E., & Ong, R. (Sept. (1994). The simple-menu package. Release, 1(2).
Ritter, F. E. (1993). Using a cognitive architecture to add to protocol theory. In Abstract included in the Proceedings of the III European Congress of Psychology. Finland, July 1993. Also presented as colloquia at Queen Mary and Westfield College (U. of London), and the U. of Regensberg, Germany, July, 1993Tampare, Finland, July 1993. Also presented as colloquia at Queen Mary and Westfield College (U. of London), and the U. of Regensberg, Germany, July, 1993: Tampare.
Nerb, J., Krems, J., & Ritter, F. E. (1993). Rule learning and the power law: A computational model and empirical results. In Using a computer model to examine learning and the power law (pp. 765–770). In Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society .. Hillsdale, NJ: LEAIn Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society .. Hillsdale, NJ: LEA.
Ritter, F. E. (1993). Creating a prototype environment for testing process models with protocol data. In Paper included in the Proceedings of the InterChi Research symposium. April, 1993Amsterdam, April, 1993: Amsterdam.
Reder, L. M., & Ritter, F. E. (1992). What determines initial feeling of knowing? Familiarity with Question Terms, Not the Answer, 18(3), 435–451.
Ritter, F. E. (1992). Unified Theories of Cognition: One and one-quarter years later (No. CMU-CS-92-007).
Ritter, F. E. (1992). TBPA: A methodology and software environment for testing process models’ sequential predictions with protocols. Doctoral Dissertation, Carnegie-Mellon University, 93–101.
Ritter, F. E. (1992). Multiple forms-mode. Available from The Ohio State University Elisp Archives on Archive, 1(4).
Ritter, F. E. (1991). Towards fair comparisons of connectionist algorithms through automatically generated parameter sets. In Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Cognitive Science SocietyHillsdale, NJ: Cognitive Science Society.
Ritter, F. E. (May. (1991). Revised with Roberto Ong in 1994. The simple-menu package. No longer available from The Ohio State University elisp archives on archive.cis.ohio-state.edu as file pub/gnu/emacs/elisp-archive/interfaces/simple-menu.el.Z.
Bates, D., Kademan, E., & Ritter, F. E. (Fall. (1990). last revised with my help Fall 1991). Statlib is statlib@lib.stat.cmu.edu). Now part of the ESS package: S-mode for GNU Emacs. Available from the Statlib software archive (S is a statistics package.
Ritter, F. E. (September. (1990). Batmail – Reading mail in an editor. and “Some notes on learning more about GNU-Emacs”. Manuals and talks presented at the CMU Psychology Department Immigration Course: Notes on software available and used in the CMU Psychology department.
Feurzeig, W., & Ritter, F. (1988). Understanding reflective problem solving. In J. Psotka, L. D. Massey, & S. A. Mutter (Eds.), Intelligent tutoring systems: Lessons learned. NJ, Lawrence Erlbaum Associates: Hillsdale.
Ritter, F., & Feurzeig, W. (1988). Teaching real-time tactical thinking. In J. Psotka, L. D. Massey, & S. A. Mutter (Eds.), Intelligent Tutoring Systems: Lessons Learned. NJ, Lawrence Erlbaum Associates: Hillsdale.
Panagos, J., Feurzeig, W., & Ritter, F. (1987). TRIO System Documentation (No. 6547).
Ritter, F. E. (1987). Symbolics product review. In Technology and Learning. Invited product review mispublished as a letter to the.
Davis, L. W., & Ritter, F. (1987). Schedule optimization with probabilistic search. In Proceedings of the Third Conference on Artificial Intelligence Applications (pp. 231–236). IEEE Computer SocietyIEEE Computer Society.
Ritter, F. (1987). OREO: Orienting electrical circuits for qualitative reasoning (No. 6560). BBN Technologies.
Ritter, F., & Panagos, J. (1987). TRIO User’s Handbook (No. 6206).
Ritter, F., & Panagos, J. (1986). The Yale Loop package: A clause based loop written in Common Lisp. Available from CL-Utilities-Request@cs.
Feurzeig, W., Massey, D., Downes-Martin, S., & Ritter, F. (1985). TRIO to INCOFT Adaptation Study (No. 6194). BBN Technologies.
Reitter, D., & Moore, J. D. (0000-00-00 subm). Alignment and Task Success in Spoken Dialogue.
Ritter, F. E., Kennedy, W. G., & Best, B. J. (n.d.). The best papers from BRIMS 2011: Models of users and teams interacting, 19(3), 283–287.
Fang, Q., Liu, P., & Yen, J. M. (n.d.). J. In S. H., D. R, & F. E. (in press Ritter (Eds.), A threaded event-based simulation approach to analyzing the intelligence on WMD attacks. Fifth IFIP WG 11.10 Int’l Conference on Critical Infrastructure Protection.
Book, Ritter, E. C., & press), F. E. (in. (n.d.). Foreword. In R. Conte, G. Andrighetto, & M. Campennì (Eds.), . New York: Oxford University Press.
Christou, G., Ritter, F. E., & Jacob, R. J. K. (n.d.). Knowledge-based usability evaluation for reality-based interaction.
Ritter, F. E., Wood, A., & Fox, D. (n.d.). Dismal, a spreadsheet for GNU Emacs. Available from the Elisp library at the GNU server.
Ritter, F. E. (n.d.). Committee Human-System Design Support for Changing Technology, (2007). In R. W. Pew & A. S. Mavor (Eds.), A new approach to system design using risk in human-system integration. National Academy Press. Washington DC: s. National Research Council.