Adaptive Cognitive Systems

Cognitive Modeling Research and Development

Publications

Adaptive Cognitive Systems conducts Cognitive Modeling research for our partners, advancing the state of the art in the simulation of human behavior in complex environments. The publications listed here give a sample of the work we have conducted. Papers available for download in PDF format have a hyperlink in the title (shown as underline).

Cognitive Modeling Tools and Techniques


Best, B. J, & Gerhart, N. (2011). An instance of what? Determining cues, attributes, and goals in a virtual task environment. In Proceedings of the 20th Conference on Behavior Representation in Modeling and Simulation, Sundance, UT.

Best, B. J, & Gerhart, N. (2011). Learning from examples using CIBRE: a cognitive instance-based rule engine. Poster presented at the 20th Conference on Behavior Representation in Modeling and Simulation, Sundance, UT.

Best, B. J., Gerhart, N., & Leibere, C. (2010). Extracting the ontological structure of OpenCyc for reuse and portability of cognitive models. In Proceedings of the 19th Conference on Behavioral Representation in Modeling and Simulation.

Best, B. J., Furjanic, C., Gerhart, N., Fincham, J. M., Gluck, K. A., Gunzelmann, G., & Krusmark, M., (2009). Adaptive mesh refinement for efficient exploration of cognitive architectures and cognitive models. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 252), Manchester, United Kingdom.

Best, B., Fincham, J., Gluck, K., Gunzelmann, G., & Krusmark, M. (2008). Efficient use of large-scale computational resources. In J. Hansberger (Ed.), Proceedings of the 17th Conference on Behavior Representation in Modeling and Simulation (pp. 180-181). Orlando, FL: Simulation Interoperability Standards Organization.

Gunzelmann, G., Pope, A., Wray, R., Best, B. J., & Trafton, J. G. (2008). Integrating cognitive architectures with external environments: Approaches and contributions to validation. In B. C. Love, K. McRae, V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Meeting of the Cognitive Science Society (pp. 913-914). Austin, TX: Cognitive Science Society.

Jones, R. M., Crossman, J. A., Lebiere, C., & Best, B. J. (2006). An abstract language for cognitive modeling. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 160-165). Trieste, Italy.

Lebiere, C., Best, B. J., Archer, R., & Warwick, W. (2005). Integrating task network models and cognitive architectures in dynamic, information-rich environments. Human Systems Integration Symposium, June 20-22, 2005, Arlington VA.

Attention and Vision

Best, B. J., Gonzalez, C., Young, M. D., Healy, A. F., & Bourne, L. E. Jr. (2007). Modeling automaticity and strategy selection in dynamic visual detection. In Proceedings of the 16th Conference on Behavior Representation In Modeling and Simulation.

Best, B. J., & Gunzelmann, G. (2005). Hierarchically-based perceptual grouping in ACT-R. Presented at the Eleventh Annual ACT-R Workshop and Summer School.

Spatial Cognition

Best, B. J. (2006). Cognitive approaches to the traveling salesperson problem: Perceptual complexity that produces computational smplicity. In Papers from the American Artificial Intelligence Association (AAAI) Spring Symposium, Technical Report SS-06-02. AAAI Press: Menlo Park, CA.

Best, B. J. (2005). A model of fast human performance on a computationally hard problem. In Proceedings of the 27th Annual Conference of the Cognitive Science Society.

Best, B. J. (2004). Modeling human performance on the traveling salesperson problem: Empirical studies and computational smulations. Doctoral dissertation, Department of Psychology, Carnegie Mellon University, Pittsburgh, PA.

Best, B. J., & Lebiere, C. (2003). Spatial processing requirements for navigation and interaction with cognitive agents in a 3-D interior space. Presented at the Symposium on Psychological Space at the 5th International Conference on Cognitive Modeling.

Best, B. J., & Simon, H. A. (2000). Simulating human performance on the traveling salesman problem. In Proceedings of the Third International Conference on Cognitive Modeling (pp.42-49). Veenendaal, Netherlands: Universal Press.

Best, B. J., Benkert, M. M., Monahan, J. S., and Stinson, M. C. (1996). Comparing subjective contour perception in artificial neural networks and infants. In Proceedings of the Midwest Artificial Intelligence and Cognitive Science Conference.

Learning and Knowledge Acquisition

Lebiere, C., & Best, B. J. (2009). Balancing long-term reinforcement and short-term inhibition. In Proceedings of the 31st Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Best, B. J. (2006). Using the EPAM theory to guide cognitive model rule induction. In Proceedings of the 13th Conference on Behavior Representation In Modeling and Simulation.

Best, B. J., & Lovett, M. (2006). Inducing a cognitive model from examples provided by an optimal algorithm. In Proceedings of the 7th International Conference on Cognitive Modeling.

Best, B. J., Schunn, C. D., and Reder, L. M. (1998). Modeling adaptivity in a dynamic task. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society (pp. 144-149). Hillsdale, NJ: Lawrence Erlbaum Associates.

Virtual Environments, Robotics, and Intelligence

Best, B.J. (2012) Inducing models of behavior from expert task performance in virtual environments.Computational & Mathematical Organization Theory. Advance online publication. doi: 10.1007/s10588-012-9136-8

Best, B.J., & Lebiere,C. (2009).Software integration for computational cognitive models in virtual environments: The CASEMIL middleware infrastruture. In Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation.

Lebiere, C., & Best, B. J. (2009). From microcognition to macrocognition: Architectural support for asymmetric adversarial behavior. Journal of Cognitive Engineering and Decision Making 3(2), 176-193.

Myers, C. W., Zachary, W., Cooke, N. J., Lewis, M., McNeese, M. D., & Best, B. J. (2009). Synthetic agents as full-fledged teammates. Symposium presented at 53rd Annual Meeting of the Human Factors and Ergonomics Society, San Antonio, TX.

Best, B. J., & Lebiere, C. (2006). Cognitive agents interacting in real and virtual worlds. In Cognition and Multi-agent Interaction: From Cognitive Modeling to Social Simulation, R. Sun (Ed.), Cambridge, UK: Cambridge University Press.

Best, B. J., Lebiere, C., and Gacy, M. (2005). Leveraging a cognitive architecture to help a robot walk and chew gum at the same time. In Proceedings of the 14th Conference on Behavior Representation In Modeling and Simulation.

Best, B. J., & Lebiere, C. (2003). Spatial plans, communication, and teamwork in synthetic MOUT agents. In Proceedings of the 12th Conference on Behavior Representation In Modeling and Simulation.

Best, B. J., & Lebiere, C. (2003). Teamwork, communication, and planning in ACT-R agents engaging in urban combat in virtual environments. In Proceedings of the 2003 IJCAI Workshop on Cognitive Modeling of Agents and Multi-Agent Interactions (pp. 64-72).

Best, B. J., Scarpinatto, K. C., and Lebiere, C. (2002). A model of synthetic opponents in MOUT training simulations using the ACT-R cognitive architecture. In Proceedings of the Eleventh Conference on Computer-Generated Forces and Behavior Representation (pp. 505-516).

Human Interaction (in Aviation and Driving)

Best, B. J., Dixon, K. R., & Speed, A. (2008). Modeling an unstructured driving domain: A comparison of two cognitive frameworks. In Proceedings of the 17th Conference on Behavioral Representation in Modeling and Simulation.

Lebiere, C., Archer, R., Best, B., & Schunk, D. (2008). Modeling Pilot Performance with an Integrated Task Network and Cognitive Architecture Approach. In Foyle, D.C, and Hooey, B. L. (Eds.), Human Performance Modeling in Aviation (pp. 106-143). CRC Presss/Taylor & Francis: Boca Raton, FL.

Best, B. J. (2005). Applying the polymorphic cognitive agent architecture to UAV mission planning. Presented at the DARPA Architectures for Cognitive Information Processing (ACIP) Principle Investigators Meeting, Marco Island, FL.

Leiden, K., & Best, B. (2005). A cross-model comparison of human performance modeling tools applied to aviation safety. (Technical Report). Boulder, CO: Micro Analysis & Design, Inc.

Best, B., Lebiere, C., Schunk, D., Johnson, I., & Archer, R. (2004). Validating a cognitive model of approach based on the ACT-R architecture. (Technical Report). Boulder, CO: Micro Analysis Design, Inc.

Skill Decay, Fatigue, and Aging

Best, B. J. (2011). The emergence of the spacing effect from the interaction of novelty and decay. Manuscript submitted for publication.

Gonzalez, C., Best, B. J., Healy, A. F., Kole, J. A., & Bourne, L. E. (2011). A cognitive modeling account of simultaneous learning and fatigue effects. Cognitive Systems Research, 12, pp. 19-32. Elsevier.

Best, B. J., Lebiere, C., & Laux, L. (2004). Aging a cognitive model. Presented at Cognitive Systems: Human Cognitive Models in System Design, Santa Fe, NM.

General

Kennedy, W. G., Ritter, F. E., & Best, B. J. (in press). Behavioral representation in modeling and simulation introduction to CMOT, Special Issue—BRIMS 2010. Computational and Mathematical Organization Theory.

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.

Best, B. J., & Hansberger, J. (2008). Human Behavioral Synthetic Research Environment (HB-SRE). Symposium presented at the 17th Conference on Behavior Representation In Modeling and Simulation.

Leiden, K., & Best, B. J. (2007). A cross-model comparison of human performance modeling tools applied to aviation safety. In D. C. Foyle, B. L. Hooey (Eds.) Human performance modeling in aviation: Surface operations and synthetic vision systems. Mahwah, NJ: Lawrence Erlbaum.

Ritter, F. E., Haynes, S. R., Cohen, M., Howes, A., John, B., Best, B. J., ...Vera, A. (2006). High-level behavior represenation languages revisited. Symposium at Trieste: In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 404-407). Trieste, Italy.