Publications for Randolph M. Jones

Journal articles

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

Jones, R. M., & Langley, P. (2005).  A constrained architecture for learning and problem solving.  Computational Intelligence, 21, 480–502.

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.

Laird, J. E., Jones, R. M., & Nielsen, P. E. (1998). Knowledge-based multiagent coordination. Presence: Teleoperators and Virtual Environments, 7, 547–563.

Tambe, M., Johnson, W. L., Jones, R. M., Koss, F., Laird, J. E., Rosenbloom, P. S., & Schwamb, K. B. (1995). Intelligent agents for interactive simulation environments. AI Magazine, 16(1), 15–39.

Jones, R. M., & VanLehn, K. (1994). Acquisition of children's addition strategies: A model of impasse-free, knowledge-level learning. Machine Learning, 16, 11–36.

Pearson, D. J., Huffman, S. B., Willis, M. B., Laird, J. E., & Jones, R. M. (1993). A symbolic solution to intelligent real-time control. Robotics and Autonomous Systems, 11, 279–291.

VanLehn, K., Jones, R. M., & Chi, M. T. H. (1992). A model of the self-explanation effect. Journal of the Learning Sciences, 2, 1–59.

Rigorously refereed conference articles

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.

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.

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.  Melbourne, Australia.

Jones, R. M. & Fleischman, E. S. (2001).  Cascade explains and informs the utility of fading examples to problems.  Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, 459-464.  Hillsdale, NJ: Lawrence Erlbaum.

Wray, R. E., III, & Jones, R. M. (2001).  Resolving contentions between initial and learned knowledge.  In H. R. Arabnia (Ed.), Proceedings of the International Conference on Artificial Intelligence: IC-AI’2001 (Vol. 2), 1023-1029.

Jones, R. M. (2000). Design and implementation of computer games: A capstone course for undergraduate computer science education. Proceedings of the Thirty-First SIGCSE Technical Symposium in Computer Science Education, 260–264. New York: ACM Press

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.

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.

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.

Wray, R. E, III, Laird, J. E., & Jones, R. M. (1996). Compilation of non-contemporaneous constraints. Proceedings of the Thirteenth National Conference on Artificial Intelligence, 771–778. Menlo Park, CA: AAAI Press.

Jones, R. M., & Langley, P. (1995). Retrieval and learning in analogical problem solving. In J. D. Moore & J. F. Lehman (Eds.), Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, 466-471. Hillsdale, NJ: Lawrence Erlbaum.

Laird, J. E., Jones, R. M., & Nielsen, P. E. (1995). Multiagent coordination in distributed interactive battlefield simulations. In V. Lesser (Ed.), Proceedings of the First International Conference on Multiagent Systems, 456. San Francisco: MIT Press.

Pearson, D. J., Huffman, S. B., Willis, M. B., Laird, J. E., & Jones, R. M. (1993). Intelligent multi-level control in a highly reactive domain. In F. C. A. Groen, S. Hirose, & C. E. Thorpe (Eds.), Proceedings of the Third International Conference on Intelligent Autonomous Systems. Burke, VA: IOS Press.

VanLehn, K., & Jones, R. M. (1993). Better learners use analogical problem solving sparingly. Machine Learning: Proceedings of the Tenth International Conference, 338–345. San Mateo, CA: Morgan Kaufmann. (Also appears in Proceedings of the Second International Workshop on Multistrategy Learning, 1993, Harper's Ferry, WV.)

VanLehn, K., & Jones, R. M. (1993). What mediates the self-explanation effect? Knowledge gaps, schemas or analogies? Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society, 1034–1039. Hillsdale, NJ: Lawrence Erlbaum.

Jones, R. M., & VanLehn, K. (1992). A fine-grained model of skill acquisition: Fitting Cascade to individual subjects. Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society, 873–878. Hillsdale, NJ: Lawrence Erlbaum.

Jones, R. M., & VanLehn, K. (1991). Strategy shifts without impasses: A computational model of the sum-to-min transition. Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society, 358–363. Hillsdale, NJ: Lawrence Erlbaum.

VanLehn, K., Jones, R. M., & Chi, M. T. H. (1991). Modeling the self-explanation effect with Cascade 3. Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society, 137–142. Hillsdale, NJ: Lawrence Erlbaum.

Jones, R. (1986). Generating predictions to aid the scientific discovery process. Proceedings of the Fifth National Conference on Artificial Intelligence, 513–517. Los Altos, CA: Morgan Kaufmann.

Invited conference articles

Jones, R. M. (1994). Functional characteristics of creativity. Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, 988–989. Hillsdale, NJ: Lawrence Erlbaum.

Jones, R., & Langley, P. (1988). A theory of scientific problem solving. Proceedings of the Tenth Annual Conference of the Cognitive Science Society, 244–250. Hillsdale, NJ: Lawrence Erlbaum.

Book chapters and reviews

Nielsen, P. E., Crossman, J., & Jones, R. M. (2006).  Human factors in opponent’s intent.  In A. Kott & W. McEneaney (Eds.), Adversarial reasoning: Computational approaches to reading the opponent’s mind.  Boca Raton, FL: CRC Press.

Wray, R. E., & Jones, R. M. (2005). An introduction to Soar as an agent architecture. In R. Sun (Ed.), Cognition and multi-agent interaction: From cognitive modeling to social simulation, 53–78. Cambridge, UK: Cambridge University Press.

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.

Jones, R. M. (1996). Review of Fluid concepts and creative analogies. International Journal of Neural Systems, 7(1), 109–113.

Jones, R. (1993). Problem solving via analogical retrieval and analogical search control. In A. L. Meyrowitz & S. Chipman (Eds.), Foundations of knowledge acquisition: Machine learning, 227-262. Boston: Kluwer Academic.

VanLehn, K., & Jones, R. M. (1993). Learning by explaining examples to oneself: A computational model. In S. Chipman & A. L. Meyrowitz (Eds.), Foundations of knowledge acquisition: Cognitive models of complex learning. Boston: Kluwer Academic.

VanLehn, K., & Jones, R. M. (1993). Integration of analogical search control and explanation-based learning of correctness. In S. Minton (Ed.), Machine learning methods for planning. Los Altos, CA: Morgan Kaufmann.

Langley, P., & Jones, R. (1988). A computational model of scientific insight. In R. Sternberg (Ed.), The nature of creativity. Cambridge, England: Cambridge University Press.

Other conference, workshop, and symposium publications

Jones, R. M. (2008).  An introduction to cognitive architectures for modeling and simulation.  Proceedings of the Interservice/Industry Training/Simulation and Education Conference 2008.  Orlando, FL.

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.

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.

Jones, R. M., Wray, R. E., & Scheutz, M. (2005).  Intelligent agent architectures: Combining the strengths of software engineering and cognitive systems.  Report for the Workshop Program at the Nineteenth National Conference on Artificial Intelligence.  AI Magazine, 26(1).

Jones, R. M., & Wray, R. E. (2004).  Comparative analysis of frameworks for knowledge-intensive agents.  Achieving human-level intelligence through integrated systems and research, papers from the 2004 Fall symposium.  Menlo Park, CS: AAAI Press.

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.

Crossman, J., Wray, R. E., Jones, R. M., & Lebiere, C. (2004).  A high level symbolic representation for behavior modeling.  Proceedings of the 2004 Conference on Behavior Representation In Modeling and Simulation (BRIMS).  Washington, DC.

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.

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.

Fleischman, E. S., & Jones, R. M. (2002).  Why example fading works: A qualitative analysis using Cascade.  Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society.  Hillsdale, NJ: Lawrence Erlbaum.

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.

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.

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.

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.

Wray, R., Beisaw, J., Jones, R., Koss, F., Nielsen, P., & Taylor, G. (2002).  General, extensible, maintainable CGF communications.  Proceedings of the Eleventh Conference on Computer Generated Forces and Behavior Representation.  Orlando, FL.

Taylor, G., Jones, R. M., Goldstein, M., Frederiksen, R., & Wray, R. E. (2002).  VISTA: A generic toolkit for visualizing agent behavior.  Proceedings of the Eleventh Conference on Computer Generated Forces and Behavior Representation.  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.

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.

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. (2000).  Projects for introductory courses on cognitive science.  Paper presented at the Twenty-Second Annual Conference of the Cognitive Science Society.  Philadelphia.

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.

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.

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., Laird, J. E., Nielsen P. E., Coulter, K., Koss, F., & Kenny, P. (1998). TacAir-Soar: Generating autonomous behavior for a distributed military training environment. Abstract and software demonstration at the Fifteenth National Conference on Artificial Intelligence.

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., & 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.

Waterson, C. R., & Jones, R. M. (1997). Modeling problem-solving strategies as the deliberate retrieval of actions and goals. Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society.

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.

Jones, R. M., Wray, R., van Lent, M., & Laird, J. E. (1995). Planning in the tactical air domain. Planning and learning: On to real applications, papers from the 1994 Fall symposium (Technical Report No. FS–94–01). Menlo Park, CA: AAAI Press.

Laird, J. E., Johnson, W. L., Jones, R. M., Koss, F., Lehman, J. F., Nielsen, P., Rosenbloom, P. S., Rubinoff, R., Schwamb, K., Tambe, M., Van Dyke, J., van Lent, M., & Wray. R. E. (1995). Simulated intelligent forces for air: The Soar/IFOR project 1995. Proceedings of the Fifth Conference on Computer Generated Forces and Behavioral Representation, 27–36. Orlando, FL.

Jones, R. M. (1994). Dynamic generation of complex behavior [Abstract & Videotape]. Proceedings of the Twelfth National Conference on Artificial Intelligence, 1504. Menlo Park, CA: AAAI Press.

Jones, R. M., & Laird, J. E. (1994). Multiple information sources and multiple participants: Managing situational awareness in an autonomous agent. Proceedings of the Fourth Conference on Computer Generated Forces and Behavioral Representation, 511–517. Orlando, FL.

Jones, R. M., Laird, J. E., Tambe, M., & Rosenbloom, P. S. (1994). Generating behavior in response to interacting goals. Proceedings of the Fourth Conference on Computer Generated Forces and Behavioral Representation, 317–324. Orlando, FL.

Laird, J. E., Jones, R. M., & Nielsen, P. E. (1994). Coordinated behavior of computer generated forces in TacAir-Soar. Proceedings of the Fourth Conference on Computer Generated Forces and Behavioral Representation, 325–332. Orlando, FL.

Rosenbloom, P. S., Johnson, W. L., Jones, R. M., Koss, F., Laird, J. E., Lehman, J. F., Rubinoff, R., Schwamb, K. B., & Tambe, M. (1994). Intelligent automated agents for tactical air simulation: A progress report. Proceedings of the Fourth Conference on Computer Generated Forces and Behavioral Representation, 69–78. Orlando, FL.

Tambe, M., Jones, R., Laird, J. E., Rosenbloom, P. S., & Schwamb, K. (1994). Building believable agents for simulation environments. Working Notes of the AAAI Spring Symposium on Believable Agents.

Jones, R. M. (1993). Realistic intelligent agents for training simulators. Paper presented at the IJCAI–93 Workshop on Models of Teaching and Models of Learning. Chambery, France.

Jones, R. M., Tambe, M., Laird, J. E., & Rosenbloom, P. S. (1993). Intelligent automated agents for flight training simulators. Proceedings of the Third Conference on Computer Generated Forces and Behavioral Representation, 33–42. Orlando, FL.

Pearson, D. J., Jones, R. M., & Laird, J. E. (1993). Air-Soar: Intelligent multi-level control [Abstract & Videotape]. Proceedings of the Eleventh National Conference on Artificial Intelligence, 860–861. Los Altos, CA: Morgan Kaufmann.

Jones, R. M., & VanLehn, K. (1991). A computational model of acquisition for children's addition strategies. In L. Birnbaum & G. Collins (Eds.), Machine Learning: Proceedings of the Eighth International Workshop, 65–69. Los Altos, CA: Morgan Kaufmann.

VanLehn, K., & Jones, R. M. (1991). Learning physics via explanation-based learning of correctness and analogical search control. In L. Birnbaum & G. Collins (Eds.), Machine Learning: Proceedings of the Eighth International Workshop, 110–114. Los Altos, CA: Morgan Kaufmann.

Jones, R. (1989). Learning to retrieve useful information for problem solving. In A. M. Segre (Ed.), Machine Learning: Proceedings of the Sixth International Workshop, 212–214. Los Altos, CA: Morgan Kaufmann.