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2019 | OriginalPaper | Chapter

Study of Agent Cooperation Incentive Strategy Based on Game Theory in Multi-Agent System

Authors : Shuyin Wang, Limei Jiang

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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Abstract

The “Folk Theorem” in Game Theory proves that in the process of one-stage game, the game player with selfish behavior may produce cooperative behavior in the process of repeated game. This paper mainly studies the cooperative behavior of Agents in Multi-Agent System from the perspective of Game Theory, against the problem of the “Prisoner’s Dilemma” caused by malicious Agents in game, this paper analyzes the influence of three different incentive strategies on trust cooperation behavior of Agents in the process of repeated game, and then gives the equilibrium boundary conditions and corresponding inferences under the three incentive strategies which make the game equilibrium happen. It is found that the incentive strategy can motivate malicious Agents to participate in cooperation in the process of infinite repeated games. Finally, an experiment is carried out to verify.

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Metadata
Title
Study of Agent Cooperation Incentive Strategy Based on Game Theory in Multi-Agent System
Authors
Shuyin Wang
Limei Jiang
Copyright Year
2019
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6571-2_227