Journal of the Japanese Society for Artificial Intelligence
Online ISSN : 2435-8614
Print ISSN : 2188-2266
Print ISSN:0912-8085 until 2013
Optimal Deal Strategies under the Disclosure of the Contract History : The Behavioral Norm in the Society of Autonomous Agents
Akira ITO, Hiroyuki YANO
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1995 Volume 10 Issue 2 Pages 271-278

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Abstract

The social sanction mechanism against unfair deals is investigated in a society of autonomous agents. The mechanism is realized by disclosing the contract histories of all the agents. To simulate the situation, each agent is made to engage in the deal equivalent to the "Prisoner's dilemma" problem repetitively, each time changing the other party of the deal. Optimal deal strategies are searched under the condition that the contract records will be disclosed and open to all the agents. Several deal algorithms are taken up, and their behaviors are investigated by matching them under various conditions. Based on the results, the condition for optimal deal strategies of the agents are discussed.

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© 1995 The Japaense Society for Artificial Intelligence
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