On Measures of Cooperation in Distributed Systems Under Uncertainties
Authors: Krokhmal, Pavlo A.; Jeffcoat, David E.
Source: Military Operations Research, Volume 15, Number 4, 2010 , pp. 39-53(15)
Publisher: Military Operations Research Society
Abstract:We study the evolution of distributed multiagent systems under uncertainty where the autonomous agents may cooperate with each other, and/or with supervisor/operator, in order to achieve the system's objective. The cooperation is facilitated by means of information sharing among the autonomous agents and/or supervisor/operator, which has the purpose of improving the effectiveness of the autonomous agents. The evolution of cooperative systems is modeled using discrete-state, continuous-time Markov processes. To measure and quantify the degree of cooperation within such systems, we introduce the concept of coefficient of cooperation, which is obtained by minimizing the Kullback-Leibler or 1-norm distances between nonstationary probability distributions. The presented techniques are illustrated on several different types of multiagent search systems.
Document Type: Research Article
Publication date: December 1, 2010
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