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
fDate :
4/1/1996 12:00:00 AM
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;
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on