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Contents 1 2008 2 2007 3 2006 4 2005 5 2004 6 2003 7 2002 8 2001 9 2000 10 1999 11 1998 12 1997 13 1996

2008

• Marinier, R. and Laird, J. E. (2008). Emotion-Driven Reinforcement Learning. CogSci 2008, Washington, D.C.
  • http://sitemaker.umich.edu/marinier/files/marinier_laird_cogsci_2008_emotionrl.pdf

• Marinier, R., Laird, J. E., and Lewis, R. L. (2008). A Computational Unification of Cognitive Behavior and Emotion. Journal of Cognitive Systems Research.
  • http://sitemaker.umich.edu/marinier/files/marinier_laird_lewis_JCSR_2008_computationalunification.pdf

• Wintermute, S. and Laird, J. E. (2008). Bimodal Spatial Reasoning with Continuous Motion. Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08), Chicago, Illinois
  • http://www.eecs.umich.edu/~swinterm/papers/AAAI08-motion.pdf

2007

• Cohen, M. A., Ritter, F. E., Haynes, S. R. (2007). Using Reflective Learning to Master Opponent Strategy in a Competitive Environment. Proceedings of the Eighth International Conference on Cognitive Modeling. Ann Arbor, MI.
  • http://ritter.ist.psu.edu/papers/cohenRH07.pdf

• Gorski, N. A. and Laird, J. E. (2007). Investigating Transfer Learning in the Urban Combat Testbed. (Report No. CCA-TR-2007-02). Ann Arbor, MI: Center for Cognitive Architecture, University of Michigan.
  • http://www.eecs.umich.edu/~ngorski/papers/CCA-TR-2007-02.pdf

• Hogewoning, E., Broekens, J., Eggermont, J., Bovenkamp, E.G.P. Strategies for Affect-Controlled Action-Selection in Soar-RL. Proceedings of the 2nd. International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC), 2007. Murcia, Spain. LNCS 4528 (pp. 501-510), Springer.
  • http://www.liacs.nl/~broekens/files/Hogewoning_Broekens_Eggermont_Bovenkamp_IWINAC2007.pdf

• Jones, R. M., Lebiere, C., & Crossman, J. A. (2007). Comparing modeling idioms in ACT-R and Soar. Proceedings of the Eighth International Conference on Cognitive Modeling. Ann Arbor, MI.

• Lathrop, S.D., and Laird, J.E. (2007). Towards Incorporating Visual Imagery into a Cognitive Architecture. Proceedings of the Eighth International Conference on Cognitive Modeling. Ann Arbor, MI.
  • http://www.eecs.umich.edu/~slathrop/publications/ICCM07_paper_final.pdf

• Magerko, B. Evaluating Preemptive Story Direction in the Interactive Drama Architecture. Journal of Game Development, vol. 3, 2007. In press.

• Marinier, R.P., Laird, J.E. 2007. Computational Modeling of Mood and Feeling from Emotion. CogSci 2007. Nashville, TN.
  • http://sitemaker.umich.edu/marinier/files/Marinier_Laird_CogSci_2007_ComputationalModeling.pdf

• Nuxoll, A. M. and Laird, J. E. (2007). Extending Cognitive Architecture with Episodic Memory. In Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI).
  • http://ai.eecs.umich.edu/soar/sitemaker/docs/pubs/AAAI2007_NuxollLaird_ver14(final).pdf

• Pearson, D., Gorski, N. A., Lewis, R. L., and Laird, J. E. (2007). Storm: A Framework for Biologically-Inspired Cognitive Architecture Research. Proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, MI.
  • http://www.eecs.umich.edu/~ngorski/papers/StormFramework_iccm-07.pdf

• Taylor, G., Stensrud, B., Eitelman, S. and Dunham, C. (2007), "Towards Automating Airspace Management," Proceedings of the Computational Intelligence for Security and Defense Applications (CISDA) Conference, Honolulu, Hi. April 1-5, 2007.

• Wang, Y., and Laird, J.E. 2007. The Importance of Action History in Decision Making and Reinforcement Learning.
  • http://www-personal.umich.edu/~yongjiaw/publications/ICCM_2007.pdf

• Wintermute, S. and Laird, J.E. Predicate Projection in a Bimodal Spatial Reasoning System. Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), Vancouver, Canada
  • http://www.eecs.umich.edu/~swinterm/papers/AAAI07-PredicateProjection.pdf

• Wintermute, S., Xu, J., Irizarry, J., Laird, J.E. 2007. SORTS Tech Report.
  • http://ai.eecs.umich.edu/soar/sitemaker/docs/pubs/sorts_report.pdf

• Wintermute, S., Xu, J., and Laird, J.E. SORTS: A Human-Level Approach to Real-Time Strategy AI. Proceedings of the Third Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-07), Stanford, California
  • http://www.eecs.umich.edu/~swinterm/papers/AIIDE07-SORTS.pdf

• Yakir, A., and Kaminka, G. (2007). An Integrated Development Environment and Architecture for Soar-Based Agents. Nineteenth Innovative Applications of Artificial Intelligence Conference (IAAI-07), Vancouver, B.C., Canada.

2006

• A complete issue devoted to the power law of practice: Tutorials in Quantitative Methods for Psychology, 2(2)
  • http://www.tqmp.org/content.htm

• Gorski, N.A., and Laird, J.E. Experiments in Transfer Across Multiple Learning Mechanisms. Proceedings of the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning. Pittsburgh, PA.
  • http://www.eecs.umich.edu/~ngorski/papers/GorskiLaird_icmlTL-06.pdf

• Jones, R. M., & Wray, R. E. (2006). Comparative analysis of frameworks for knowledge-intensive agents. /AI Magazine 27/(2), 45�56.

• Jones, R. M., Crossman, J. A., Lebiere, C., & Best, B. J. (2006). An abstract language for cognitive modeling. /Proceedings of the Seventh International Conference on Cognitive Modeling/. Trieste, Italy: Edizioni Goliandiche.

• Kennedy, W.G., and Trafton, J.G. Long-Term Learning in Soar and ACT-R. Proceedings of the Seventh International Conference on Cognitive Modeling, (pp 162-168). Trieste, Italy: Edizioni Goliardiche.
  • http://www.mllab.com/Kennedy-ICCM2006.pdf

• K�nik, T., and Laird, J. 2006. Learning Goal Hierarchies from Structured Observations and Expert Annotations, Machine Learning. 64(1-3) 263-287.
  • http://cll.stanford.edu/~konik/Research/Papers/2006_ML_konik_laird/index.html

• Lathrop, S., and Laird, J.E. 2006. Incorporating Visual Imagery into a Cognitive Architecture: An Initial Theory, Design and Implementation.
  • http://ai.eecs.umich.edu/soar/sitemaker/docs/pubs/cca_tech_report_2006-01.pdf

• Magerko, B., Stensrud, B., and Holt, L. Bringing the Schoolhouse Inside the Box � A Tool for Engaging, Individualized Training. 25th Army Science Conference, 2006. Orlando, FL.

• Marinier, R. and Laird, J. A Cognitive Architecture Theory of Comprehension and Appraisal. To be presented at Agent Construction and Emotion 2006, Vienna, Austria, April 2006.
  • http://sitemaker.umich.edu/marinier/files/Marinier_Laird_ACE_2006_ComprehensionAndAppraisal.pdf

• Ritter, F.E., Haynes, S. R., Cohen, M., Howes, A., John, B., Best, B., Lebiere, C., Jones, R. M., Crossman, J., Lewis, R. L., St. Amant, R., McBride, S. P., Urbas, L., Leuchter, S., & Vera, A. (2006). High-level behavior representation languages revisited. In /Proceedings of the Seventh International Conference on Cognitive Modeling,/ 404-407. Trieste, Italy: Edizioni Goliandiche.

• Rosenbloom, R. 2006, A Cognitive Odyssey: From the Power Law of Practice to a General Learning Mechanism and Beyond, in Tutorials in Quantitative Methods for Psychology, 2(2) 6-14.
  • http://www.tqmp.org/doc/vol2-2/p6-14_Rosenbloom.pdf

• Stensrud, B., Taylor, G. and Crossman, J., (2006) "IF-Soar: A Virtual, Speech-Enabled Agent for Indirect Fire Training," Proceedings of the 25th Army Science Conference, Orlando, FL.

• Wang, Y., and Laird, J.E. 2006. Integrating Semantic Memory into a Cognitive Architecture.
  • http://ai.eecs.umich.edu/soar/sitemaker/docs/pubs/smem_tech.pdf

2005

• Chong, R.S., Wray, R.E. Inheriting constraint in hybrid cognitive architectures: Appyling the EASE architecture to performance and learning in a simplified air traffic control task. In K. Gluck and R. Pew, eds, Modeling Human Behavior with Integrated Cognitive Architectures: Comparison, Evaluation, and Validation, 237--304. Lawrence Erlbaum Associates, 2005.

• Jones, R. M. (2005). An introduction to cognitive architectures for modeling and simulation. /Proceedings of the Interservice/Industry Training/Simulation and Education Conference 2005./ Orlando, FL.

• Magerko, B. Story Representation and Interactive Drama. 1st Artificial Intelligence and Interactive Digital Entertainment Conference, 2005. Marina Del Rey, CA.

• Magerko, B, Wray, RE, Holt, LS, Stensrud, B. Customizing interactive training through individualized content and increased engagement. In Proceedings of the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC) 2005, Orlando, FL, Dec 2005. National Training Systems Association.

• Nason, S. and Laird, J. E. (2005). Soar-RL: Integrating Reinforcement Learning with Soar. Cognitive Systems Research, 6, 51-59.

• Pearson, D.J., Laird, J.E. Incremental Learning of Procedural Planning Knowledge in Challenging Environments. To appear in special issue of Computational Intelligence on "Learning to Improve Reasoning".
  • http://www.sunnyhome.org/pubs/PearsonLaird-CompInt-2005.pdf

• Wallace, S. A. S-Assess: A Library for Self-Assessment. In Proceedings of the Fourth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-05). pp. 256-263. Utrecht, The Netherlands. 2005.
  • http://ai.vancouver.wsu.edu/~wallaces/professional/downloads/wallace-2005-aamas.pdf

• Wray, R.E., Laird, J.E., Nuxoll, A., Stokes, D., Kerfoot, A. Synthetic adversaries for urban combat training. AI Magazine, 26(3):82--92, 2005.

• Wray, R.E., Chong, R.S. Comparing cognitive models and human behavior representations: Computational tools for expressing human behavior. Proceedings of the Infotech@Aerospace 2005 Conference, Arlington, VA, Sep 2005. American Institute of Aeronautics and Astronautics.

• Wray, R.E., Jones, R.M. An introduction to Soar as an agent architecture. In, R. Sun (ed), Cognition and Multi-agent Interaction: From Cognitive Modeling to Social Simulation, Cambridge University Press, pp 53--78, 2005.

2004

• Bovenkamp, E.G.P., Dijkstra, J., Bosch, J.G., and J.H.C. Reiber (2004). Multi-Agent segmentation of IVUS images. Pattern Recognition, 37, 647-663.
  • http://authors.elsevier.com/sd/article/S0031320303004096

• Crossman, J., Wray, R. E., Jones, R. M., & Lebiere, C. (2004). A High Level Symbolic Representation for Behavior Modeling. Paper presented at the 2004 Behavioral Representation in Modeling and Simulation, Arlington, VA.

• Jones, R. M., & Wray, R. E. (2004). Comparative Analysis of Frameworks for Knowledge-Intensive Intelligent Agents. Paper presented at the AAAI Fall Symposium Series on Achieving Human-level Intelligence through Integrated Systems and Research, Alexandria, VA.

• Jones, R. M., & Wray, R. E. (2004). Toward an abstract machine architecture for intelligence. Paper presented at the AAAI Workshop on Intelligent Agent Architectures: Combining the Strengths of Software Engineering and Cognitive Systems, San Jose, CA.

• Jones, R. M., Wallace, A. J., & Wessling, J. (2004). An intelligent synthetic wingman for army rotary wing aircraft. /Proceedings of the Interservice/Industry Training/Simulation and Education Conference 2004./ Orlando, FL.

• Jones, R. M. (2004). An introduction to cognitive architectures for modeling and simulation. /Proceedings of the Interservice/Industry Training/Simulation and Education Conference 2004./ Orlando, FL.

• Jones, R. M., & Wray, R. E. (2004). Toward an abstract machine architecture for intelligence. /Proceedings of the 2004 AAAI Workshop on Intelligent Agent Architectures: Combining the Strengths of Software Engineering and Cognitive Systems/.

• Magerko, B. and Laird, J.E.  Mediating the Tension Between Plot and Interaction. AAAI Workshop Series: Challenges in Game Artificial Intelligence, 2004. San Jose, California, 108-112.

• Magerko, B., Laird, J. E., Assanie, M., Kerfoot, A., Stokes, D., AI Characters and Directors for Interactive Computer Games, Proceedings of the 2004 Innovative Applications of Artificial Intelligence Conference, San Jose, CA, July 2004. AAAI Press.
  • http://ai.eecs.umich.edu/people/laird/papers/magerko-2004-IAAI-Haunt.pdf

• Konik, T., and Laird, J. (2004). Learning Goal Hierarchies from Structured Observations and Expert Annotations. In 14th International Conference on Inductive Logic Programming (ILP-2004), Lecture Notes in AI 3194. Springer
  • http://cll.stanford.edu/~konik/Research/Papers/2004_ILP_konik_laird/index.html

• Marinier, R. and Laird, J. E. (2004). Towards a Comprehensive Computational Model of Emotions and Feelings. International Conference on Cognitive Modelling.
  • http://sitemaker.umich.edu/marinier/files/iccm_2004_emotions.pdf

• Nason, S. and Laird, J. E., Soar-RL, Integrating Reinforcement Learning with Soar, International Conference on Cognitive Modeling, 2004.
  • http://ai.eecs.umich.edu/people/laird/papers/nason-2004-ICCMSoarRL.pdf

• Nuxoll, A., Laird, J. E., A Cognitive Model of Episodic Memory Integrated With a General Cognitive Architecture, International Conference on Cognitive Modeling 2004.
  • http://ai.eecs.umich.edu/people/laird/papers/nuxoll-2004-ICCM-epmem.pdf

• Nuxoll, A., Laird, J., James, M. Comprehensive Working Memory Activation in Soar. International Conference on Cognitive Modeling, Poster, 2004.
  • http://ai.eecs.umich.edu/people/laird/papers/nuxoll-2004-ICCM-activation.pdf

• Pearson, D. J., Laird, J. E. Redux: Example-Driven Diagrammatic Tools for Rapid Knowledge Acquisition, Proceedings of Behavior Representation in Modeling and Simulation, 2004, Washington, D.C.
  • http://ai.eecs.umich.edu/people/laird/papers/pearsonlaird-2004-BRIMS.pdf

• Taylor, G., & Wray, R. E. (2004). Behavior Design Patterns: Engineering Human Behavior Models. Paper presented at the 2004 Behavioral Representation in Modeling and Simulation Conference, Arlington, VA.

• Wray, R. E., Laird, J. E., Nuxoll, A., Stokes, D., Kerfoot, A., Synthetic Adversaries for Urban Combat Training, Proceedings of the 2004 Innovative Applications of Artificial Intelligence Conference, San Jose, CA, July 2004. AAAI Press.
  • http://ai.eecs.umich.edu/people/laird/papers/wray-2004-IAAI-MOUT.pdf

• Wray, R. E., Lisse, S., and Beard, J. Investigating ontology infrastructures for execution-oriented autonomous agents. Papers from the 2004 AAAI Spring Symposium Series: Knowledge Representation and Ontology for Autonomous Systems, Stanford, CA, March 2004. AAAI Press.
  • http://citeseer.ist.psu.edu/rd/67922655%2C672880%2C1%2C0.25%2CDownload/http://citeseer.ist.psu.edu/cache/papers/cs/31257/http:zSzzSzwww.speakeasy.orgzSz%7EwrayrezSzpubszSzAAAISS04-OntologyInfrastructuresforAutonomousSystems.pdf/investigating-ontology-infrastructures-for.pdf

2003

• Biddle, E. S., Henninger, A., Franceschini, R., & Jones, R. M. (2003). Emotion modeling to enhance behavior representation: A survey of approaches. /Proceedings of the Interservice/Industry Training/Simulation and Education Conference 2003. /Orlando, FL.

• Chong, R. S., and Wray, R. E. RULEX-EM: Incorporating exemplars and memory effects in a hypothesis-testing model of category learning. Proceedings of the First European Cognitive Science Conference, Osnabrueck, Germany, Sep 2003. Lawrence Erlbaum Associates.

• Henninger, A. E., Jones, R. M., & Chown, E. (2003). Behaviors that emerge from emotion and cognition: Implementation and evaluation of a symbolic-connectionist architecture. /Proceedings of the Seventh International Conference on Autonomous Agents/.

• Jones, R. M., & Wray, R. E., III. (2003). Design principles for heavy intelligent agents. /Proceedings of the Seventh International Conference on Autonomous Agents/. Melbourne, Australia.

• Kennedy, W.G., and De Jong, K.A. Characteristics of long-term learning in Soar and its application to the utility problem. In Proceedings of the fifth international conference on machine learning (pp. 337-344). Menlo Park: AAAI Press.
  • http://www.hpl.hp.com/conferences/icml2003/papers/247.pdf

• Magerko, B. and Laird, J. "Building an Interactive Drama Architecture" 1st International Conference on Technologies for Interactive Digital Storytelling and Entertainment, Darmstadt, Germany, March 2003.
  • http://ai.eecs.umich.edu/people/laird/papers/magerko.TIDSE.03.pdf

• Pearson, D. J., Laird, J. E. "Example-driven Diagrammatic Tools For Rapid Knowledge Acquisition", Visualizing Information in Knowledge Engineering (2003). A workshop at K-CAP 2003 (Second International Conference on Knowledge Capture). Oct 2003.
  • http://www.sunnyhome.org/pubs/vike03.html

• Wallace. S. A., Laird, J. E. Comparing Agents and Humans Using Behavioral Bounding. International Joint Conference on Artificial Intelligence (IJCAI-03).
  • http://ai.eecs.umich.edu/people/laird/papers/wallace-2003-ijcai.pdf

• Wallace, S. Validating Complex Agent Behavior, Ph.D. Thesis University of Michigan, Ann Arbor, MI, 2003.
  • http://ai.eecs.umich.edu/people/laird/papers/wallace-2003-thesis-duplex.pdf

• Wray, R.E., Laird, J. E. (2003) "Variability in Human Behavior Modeling for Military Simulations", Behavior Representation in Modeling and Simulation Conference. Scottsdale, AZ.
  • http://www.speakeasy.org/~wrayre/pubs/VariabilityinHumanBehaviorModeling_WrayLaird_BRIMS2003.pdf

• Wray, R.E., Laird, J. E. An architectural approach to consistency in hierarchical execution. Journal of Artificial Intelligence Research. 19. 355--398. 2003.
  • http://www.jair.org/abstracts/wray03a.html

• Wray, R.E., and Chong, R. S. Quantitative Explorations of Category Learning using Symbolic Concept Acquisition. Proceedings of the 5th International Conference on Cognitive Modeling. Bamberg, Germany. April, 2003.

2002

• Chown, E., Jones, R. M., & Henninger, A. E. (2002). An architecture for emotional decision-making agents. /Proceedings of the Sixth International Conference on Autonomous Agents./ Bologna, Italy.

• Henninger, A. E., Jones, R. M., & Chown, E. (2002). Behaviors that emerge from emotion and cognition: A first evaluation. /Proceedings of the Interservice/Industry Training /Simulation and Education Conference 2002/. Orlando, FL.

• Jones, R. M., Henninger, A. E., & Chown, E. (2002). Interfacing behavior moderators with intelligent synthetic forces. /Proceedings of the Eleventh Conference on Computer Generated Forces and Behavior Representation./ Orlando, FL.

• Laird, J.E., Assanie, M., Bachelor, B., Benninghoff, N., Enam, S., Jones, B., Kerfoot, A., Lauver, C., Magerko, B., Sheiman, J.  Stokes, D. Wallace, S. A Testbed for Developing Intelligent Synthetic Characters. In Artificial Intelligence and Interactive Entertainment: Papers from the 2002 AAAI Spring Symposium, 2002. Menlo Park, CA.
  • http://www.eecs.umich.edu/~magerko/research/SSS202JLaird.pdf

• Taylor, G. E., Jones, R. M., Goldstein, M. and Frederiksen, R. and Wray, R. E. VISTA: A Generic Toolkit for Visualizing Agent Behavior. Proceedings of the Eleventh Conference on Computer Generated Forces and Behavioral Representation. Institute for Simulation and Training. pp. 157--167. May 2002.
  • http://www.sisostds.org/conference/download.cfm?Phase_ID=2&FileName=11TH-CGF-021.doc

• Wray, R. E., Beisaw, J. C., Jones, R. M., Koss, F. V., Nielsen, P. E. and Taylor, G. E. General, maintainable, extensible communications for computer generated forces. Proceedings of the Eleventh Conference on Computer Generated Forces and Behavioral Representation. Institute for Simulation and Training. pp. 563--570. May 2002.
  • http://www.sisostds.org/conference/download.cfm?Phase_ID=2&FileName=11TH-CGF-021.doc

• Wray, R. E., Laird, J. E., Nuxoll, A., & Jones, R. M. (2002). Intelligent opponents for virtual reality trainers. /Proceedings of the Interservice/Industry Training /Simulation and Education Conference 2002/. Orlando, FL.

• Zachary, W., Jones, R. M., & Taylor, G. (2002). How to communicate to users what is inside a cognitive model. /Proceedings of the Eleventh Conference on Computer Generated Forces and Behavior Representation./ Orlando, FL.

2001

• Henninger, A. E., Jones, R. M., & Chown, E. (2001). A symbolic-connectionist framework for representing emotions in computer

generated forces. /Proceedings of the Interservice/Industry Training /Simulation and Education Conference 2001/. Orlando, FL.

• Jones, R. M., Chown, E., & Henninger, A. E. (2001). A hybrid symbolic-connectionist approach to modeling emotions. /Emotional and

intelligent II: The tangled knot of social cognition, /papers from the 2001 Fall symposium (Technical Report no. FS-01-02). Menlo Park, CA: AAAI Press.

• Wray, R. E. and Jones, R. M. Resolving contentions between initial and learned knowledge. In Proceedings of the 2001 International Conference on Artificial Intelligence, Las Vegas, NV, June 2001.
  • http://citeseer.ist.psu.edu/rd/67922655%2C593465%2C1%2C0.25%2CDownload/http%3AqSqqSqciteseer.ist.psu.eduqSqcacheqSqpapersqSqcsqSq28499qSqhttp%3AzSzzSzwww.speakeasy.orgzSz%7EwrayrezSzpubszSzicai-01.pdfqSqresolving-contentions-between-initial.pdf

2000

• Jones, R. M., & Kenny, P. G. (2000). Lessons learned from integrating STOW technology into an operational naval environment. /Proceedings of the 2000 Spring Simulation Interoperability Workshop/. Orlando, FL.

• Nielsen, P. E., Koss, F. V., Taylor, G. E., & Jones, R. M. (2000). Communication with intelligent agents. /Proceedings of the

Interservice/Industry Training Simulation and Education Conference 2000 /(pp. 824-834). Orlando, FL.

1999

• Jones, R. M., Laird, J. E., Nielsen, P. E., Coulter, K. J., Kenny, P., & Koss, F. V. (1999). Automated intelligent pilots for combat flight simulation. /AI Magazine, 20/(1), 27�41.

• Jones, R. M. (1999). Graphical visualization of situational awareness and mental state for intelligent computer-generated forces. /Proceedings of the Eighth Conference on Computer Generated Forces and Behavioral Representation/, 219�222. Orlando, FL.

• Ritter, F. E., Jones, R. M., & Baxter, G. D. (1999). 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.

1998

• Jones, R. M., Laird, J. E., & Nielsen P. E. (1998). Automated intelligent pilots for combat flight simulation. /Proceedings of the Tenth Annual Conference on Innovative Applications of Artificial Intelligence/, 1047�1054. Menlo Park, CA: AAAI Press.

• Jones, R. M., Laird, J. E., & Nielsen P. E. (1998). Real-time intelligent characters for a non-visual simulation environment. /Proceedings of the Computer Animation '98 Conference/.

• Jones, R. M. (1998). A graphical user interface for human control of intelligent synthetic forces. /Proceedings of the Seventh Conference on Computer Generated Forces and Behavioral Representation/. Orlando, FL.

• Jones, R. M., Neville, K., & Laird, J. E. (1998). Modeling pilot fatigue with a synthetic behavior model. /Proceedings of the Seventh Conference on Computer Generated Forces and Behavioral Representation/. Orlando, FL.

• Laird, J. E., & Jones R. M. (1998). Building advanced autonomous AI systems for large scale real time simulations. /Proceedings of the/ /Computer Game Developers Conference, /365-378. Long Beach, CA: Miller Freeman.

• Laird, J. E., Jones, R. M., & Nielsen, P. E. (1998). Lessons learned from TacAir-Soar in STOW-97. /Proceedings of the Seventh Conference on Computer Generated Forces and Behavioral Representation/. Orlando, FL.

• Laird, J. E., Coulter, K. J., Jones, R. M., Kenny, P. G., Koss, F., & Nielsen, P. E. (1998). Integrating intelligent computer generated forces in distributed simulations: TacAir-Soar in STOW-97. /Proceedings of the 1998 Spring Simulation Interoperability Workshop/. Orlando, FL.

• Wray, R. E. and Laird, J. E. Maintaining consistency in hierarchical reasoning. In Proceedings of the Fifteenth National Conference on Artificial Intelligence, pages 928--935, Madison, Wisconsin, 1998.

1997

• Jones, R. M., & Laird, J. E. (1997). Constraints on the design of a high-level model of cognition. /Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society/.

1996

• Jones, R. M., Laird, J. E., & Nielsen, P. E. (1996). Moving intelligent automated forces into theater-level scenarios. /Proceedings of the Sixth Conference on Computer Generated Forces and Behavioral Representation/, 113�117. Orlando, FL.

• Laird, J. E., Pearson, D. J., Jones, R. M., & Wray, R. E., III. (1996). Dynamic knowledge integration during plan execution. /Plan execution: Problems and issues, /papers from the 1996 Fall symposium (Technical Report No. FS-96-01). Menlo Park, CA: AAAI Press.

• Wray, R. E., Laird, J. E., and Jones, R. M. Compilation of non-contemporaneous constraints. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, pages 771--778, Portland, Oregon, August 1996.
  • http://citeseer.ist.psu.edu/rd/0%2C197714%2C1%2C0.25%2CDownload/http://citeseer.ist.psu.edu/cache/papers/cs/8158/http:zSzzSzwww.mtsu.eduzSz%7EwrayrezSzpubszSzaaai-96.pdf/wray96compilation.pdf