Intelligent agents for the synthetic battlefield: a company of rotary wing aircraft

  • Authors:

  • Randall W. Hill, Jr.;Johnny Chen;Jonathan Gratch;Paul Rosenbloom;Milind Tambe

  • Affiliations:

  • Information Sciences Institute and Computer Science Department, University of Southern California, Marina del Rey, CA;Information Sciences Institute and Computer Science Department, University of Southern California, Marina del Rey, CA;Information Sciences Institute and Computer Science Department, University of Southern California, Marina del Rey, CA;Information Sciences Institute and Computer Science Department, University of Southern California, Marina del Rey, CA;Information Sciences Institute and Computer Science Department, University of Southern California, Marina del Rey, CA

  • Venue:
  • AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
  • Year:
  • 1997

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Abstract

We have constructed a team of intelligent agents that perform the tasks of an attack helicopter company for a synthetic battlefield environment used for running large-scale military exercises. We have used the Soar integrated architecture to develop: (1) pilot agents for a company of helicopters, (2) a command agent that makes decisions and plans for the helicopter company, and (3) an approach to teamwork that enables the pilot agents to coordinate their activities in accomplishing the goals of the company. This case study describes the task domain and architecture of our application, as well as the benefits and lessons learned from applying AI technology to this domain.