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Outline

Intelligent behaviors for simulated entities

2005, Interservice/Industry Training, …

Abstract

In nearly any simulation system, there will be entities–that is, platforms or forces–that are not under the control of a human participant, either because the necessary personnel are not available or they would be too costly. These entities must mimic the behavior of the real-...

References (16)

  1. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of mind. Psychological Review, 111(4), 1036-1060.
  2. Card, S. K., Moran, T. P., & Newell, A. (1983). The psychology of human-computer interaction. Hillsdale, N.J.: L. Erlbaum Associates.
  3. Craig, K., Doyal, J., Brett, B., Lebiere, C., Biefeld, E., & Martin, E. A. (2002). Development of a hybrid model of tractical figher pilot behavior using IMPRINT task network modeling and the adatpive control of thought -rational (ACT-R). Paper presented at the 11th Conference on Computer Generate Forces and Behavior Representation.
  4. Douglass. (2003). Modeling of Cognitive Agents. Retrieved May 22, 2005, from http://act- r.psy.cmu.edu/~douglass/Douglass/Agents/15- 396.html).
  5. Fu, D., & Houlette, R. (2003). The ultimate guide to FSMs in games. In S. Rabin (Ed.), AI Game Programming Wisdom 2.
  6. Fu, D., Houlette, R., Jensen, R., & Bascara, O. (2003). A Visual, Object-Oriented Approach to Simulation Behavior Authoring. Paper presented at the Industry/Interservice, Training, Simulation & Education Conference.
  7. Gray, W. D., & Altmann, E. M. (1999). Cognitive modeling and human-computer interaction. In W. Karwowski (Ed.), International Encyclopedia of Ergonomics and Human Factors (pp. 387-391). New York: Taylor & Francis, Ltd.
  8. 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.
  9. Kieras, D. E. (2003). Model-based evaluation. In J. A. Jacko & A. Sears (Eds.), The Human- Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications (pp. 1139-1151). Mahway, NJ: Lawrence Erlbaum Associates.
  10. Laird, J. E. (2004). The Soar 8 Tutorial. Retrieved August 16, 2004, from http://sitemaker.umich.edu/soar/soar_software _downloads
  11. Laird, J. E., & Congden, C. B. (2004). The Soar User's Manual Version 8.5 Edition 1. Retrieved August 16, 2004, from http://sitemaker.umich.edu/soar/soar_software _downloads
  12. Lehman, J. F., Laird, J. E., & Rosenbloom, P. S. (1998). A gentle introduction to SOAR: An architecture for human cognition. In D. Scarborough & S. Sternberg (Eds.), (2 ed., Vol. 4, pp. 212-249). Cambridge, MA: MIT Press.
  13. Pearson, D., & Laird, J. E. (2004). Redux: Example- driven diagrammatic tools for rapid knowledge acquisition. Paper presented at the Behavior Representation in Modeling and Simulation, Washington, D.C.
  14. Pew, R. W., & Mavor, A. S. (1998). Modeling human and organizational behavior : application to military simulations. Washington, D.C.: National Academy Press.
  15. Unit 7: Production Rule Learning. Retrieved October 31, 2004, from http://act- r.psy.cmu.edu/tutorials/unit7.htm
  16. Wallace, S. A., & Laird, J. E. (2003). Comparing agents and humans using behavioral bounding. Paper presented at the International Joint Conference on Artificial Intelligence.