• DocumentCode
    900642
  • Title

    Using finite state automata to produce self-optimization and self-control

  • Author

    Tung, Brian ; Kleinrock, Leonard

  • Author_Institution
    Inf. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    7
  • Issue
    4
  • fYear
    1996
  • fDate
    4/1/1996 12:00:00 AM
  • Firstpage
    439
  • Lastpage
    448
  • Abstract
    A simple game provides a framework within which agents can spontaneously self-organize. In this paper, we present this game, and develop basic theory underlying a robust method for distributed coordination based on this game. This method makes use of finite state automata-one associated with each agent-which guide the agents. We give a new, general method of analysis of these systems, which previously had been studied only in limited cases. We also provide a physical example, which should hint at the type of problems resolvable using this method
  • Keywords
    finite automata; game theory; probability; distributed coordination; finite state automata; game theory; self-control; self-optimization; Automata; Automatic control; Centralized control; Control systems; Game theory; Legged locomotion; Robot kinematics; Robotics and automation; Robustness; Voting;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/71.494637
  • Filename
    494637