Constraining Information Sharing To Improve Cooperative Information Gathering

Journal of Artificial Intelligence Research(2014)

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摘要
This paper considers the problem of cooperation between self-interested agents in acquiring better information regarding the nature of the different options and opportunities available to them. By sharing individual findings with others, the agents can potentially achieve a substantial improvement in overall and individual expected benefit. Alas, when it comes to self-interested agents, it is well known that equilibrium considerations often dictate solutions that are far from the fully cooperative ones, hence the agents do not manage to fully exploit the potential benefits encapsulated in such cooperation. In this paper we introduce, analyze and demonstrate the benefit of two methods aiming to improve cooperative information gathering. Common to all two that they constrain and limit the information sharing process. Nevertheless, the decrease in benefit due to the limited sharing is outweighed by the resulting substantial improvement in the equilibrium individual information gathering strategies. The equilibrium analysis that is given in the paper, which, in itself, is an important contribution to the study of cooperation between self-interested agents, enables demonstrating that for a wide range of settings with the use of the two methods all agents end up with an improved individual expected benefit.
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关键词
Multi-Agent Exploration,Self-Interested Agents,Cooperation,Team-work,Economically-Motivated Agents
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