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ABSTRACT

Producing realistic computer generated forces in a distributed integrated simulation requires flexible mission execution and behavior coordination within the agent itself as well as in its interactions with other agents. This paper focuses on the types of behavior required to produce a realistic airborne forward air controller in closely coordinated attack missions.

REFERENCES

• 1: Calder, R., Smith, J., Courtenmanche, A., Mar, J., Ceranowicz, A. 1993. ModSAF behavior simulation and control. In Proceedings of the Third Conference on Computer Generated Forces and Behavioral Representation, ed. D. E. Mullally, Jr., 347-358. Institute for Simulation and Training, Orlando, Florida.
• 2: Johnson, W. L., & Tambe, M. 1995. Using machine learning to extend autonomous agent capabilities. In Proceedings of the 1995 Summer Computer Simulation Conference. Society of Computer Simulation.
• 3: Jones, R. M., Tambe, M., Laird, J. E., & Rosenbloom, P. S. 1993. intelligent automated agents for flight training simulators. In Proceedings of the Third Conference on Computer Generated Forces and Behavioral Representation ed. D. E. Mullally, Jr., 33-42. Institute for Simulation and Training, Orlando, Florida.
• 4: Jones, R. M., Wray, R. E., van Lent, M., ~ Laird, J. E. 1994. Planning in the tactical air domain. In Planning and Learning: On to Real Applications, Papers from the 199~ AAAI Fall Symposium. Menlo Park, CA: AAAI Press.
• 5: John E. Laird , Allen Newell , Paul S. Rosenbloom, SOAR: an architecture for general intelligence, Artificial Intelligence, v.33 n.1, p.1-64, Sept. 1987 [doi>10.1016/0004-3702(87)90050-6]
• 6: Laird, J. E., Jones, R. M., & Nielsen, P. E. 1994. Coordinated behavior of computer generated forces in TacAir-Soar. In Proceedzngs of ~he Fourth Conference on Computer Generated Forces and Behavioral Representation, ed. D. E. Mullally, Jr., 325-332. Institute for Simulation and Training, Orlando, Florida.
• 7: Laird, J. E., Johnson, W. L., Jones, R. M., Koss, F., Lehman, J. F., Nielsen, P. E., Rosenbloom, P. S., Rubinoff, R., Schwamb, K., Tambe, M., Van Dyke, J., van Lent, M., ~ Wray, R. 1995. Simulated intelligent forces for air: The Soar/iFOR project 1995. In Proceedings of the Fifth Conference on Computer Generated Forces and Behavioral Representation, ed. D. E. Mullally, Jr., 27-38. Institute for Simulation and Training, Orlando, Florida.
• 8: Lankester, H. 1995. Multi-application command agents. In Proceedings of the Fifth Conference on Computer Generaled Forces and Behavioral Representation, ed. D. E. Mullally, Jr., 169-177. Institute for Simulation and Training, Orlando, Florida.
• 9: Lehman, J. F., Rubinoff, R., &~ Van Dyke, J. 1995. Natural language processing for IFORs: Comprehension and generation in the air combat domain in Proceedings of ~he Fifth Conference on Computer Generated Forces and Behavioral Representation, ed. D. E. Mullally, Jr., 115-124. Institute for Simulation and Training, Orlando, Florida.
• 10: Allen Newell, Unified theories of cognition, Harvard University Press, Cambridge, MA, 1990
• 11: Rao, A., Lucas, A., Selvestrel, M., & Murray, G. 1994. Agent-oriented architecture for air combat simulation. Techinal Note 42, The Australian Artificial Intelligence Institute.
• 12: Paul S. Rosenbloom , John E. Laird , Allen Newell, The Soar papers (vol. 1): research on integrated intelligence, MIT Press, Cambridge, MA, 1993
• 13: Salisbury, M. 1995. Command and control simulation interface language (CCSIL): Status update. In Proceedings of the the 12th Distributed Interactive Simulation Workshop. Sponsored by STRI- COM and the Institute for Simulation and Training (IST) at the University of Central Florida.
• 14: Schwamb, K. B., Koss, F. V., & Keirsey, D. 1994. Working with ModSAF: Interfaces for programs and users. In Proceedings of the Fourth Conference on Computer Generated Forces and Behavioral Representation, ed. D. E. Mullnlly, Jr. 395- 400. Institute for Simulation and Training, Orlando, Florida.
• 15: Tambe, M., & Rosenbloom, P. S. 1995. RESC: An approach for real-time, dynamic agent tracking. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI).
• 16: Tambe, M., Johnson, W. L., Jones, R. M., Koss, F., Laird, J. E., Rosenbloom, P. S., ~ Schwamb, K. 1995. Intelligent agents for interactive simulation environments. AI Magazine, 16(1).
• 17: U.S. Marine Corps. 1988. Close air support and close-in fire support. FMFM 5-4A. U.S. Marine Corps.
• 18: van Lent, M. 1995. Planning and learning in a complex domain. Technical Report, Department of Electrical Engineering and Computer Science, The University of Michigan.
• 19: van Lent, M., ~ Wray, R. 1994. A very low cost system for direct human control of simulated vehicles. In Proceedings of the Fourth Conference on Computer Generated Forces and Behavioral Representation, ed. D. E. Mullally, Jr., 79-86. Institute for Simulation and Training, Orlando, Florida.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.8 Types of Simulation
          Subjects: Distributed

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.0 General
          Subjects: Cognitive simulation

General Terms:
Management, Theory, Verification