• DocumentCode
    397429
  • Title

    Game theoretic approach to cooperative teaming and tasking in the presence of an adversary

  • Author

    Liu, Yong ; Simaan, Marwan A. ; Cruz, Jose B.

  • Author_Institution
    Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
  • Volume
    6
  • fYear
    2003
  • fDate
    4-6 June 2003
  • Firstpage
    5375
  • Abstract
    Cooperative teaming and tasking is a critical issue in the optimization and control of dynamic multi-agent systems. For most such systems, cooperative teaming and optimal task assignment can improve the overall performance. When an adversarial entity is present, however, it is not clear that cooperative teaming will always yield a justifiable superior outcome. Depending on the strategy adopted by the adversary, the change in the outcome may be insignificant whether the agents are grouped into teams or whether they all operate in unison as one team. In order to test these concepts, we will consider a recently developed model of a military operation between two forces: an attacking force and a defending force. In this paper, the effects of cooperative teaming and task assignment with respect to different arrangement of strength of the attacking force are investigated. The Nash strategy is used as the basis for determining the optimal controls for both sides. Using simulation of various scenarios, we show that an appropriate teaming and task assignment of the attacking force can reduce the losses it incurs. Our simulation results reveal that when the attacking force is made stronger, the difference between two options of teaming and non-teaming becomes less evident.
  • Keywords
    game theory; multi-agent systems; optimisation; adversarial entity; attacking force; cooperative tasking; cooperative teaming; defending force; dynamic multiagent system; dynamic system; game theoretic approach; military operation; optimal task assignment; resource reallocation; two-step moving-horizon Nash strategy; Control systems; Costs; Force control; Game theory; Large-scale systems; Multiagent systems; Optimal control; State-space methods; System performance; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2003. Proceedings of the 2003
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7896-2
  • Type

    conf

  • DOI
    10.1109/ACC.2003.1242583
  • Filename
    1242583