Cooperation in the Multi-Agent System with Different Types of Interactions

A. L. Grinikh
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Abstract

This paper summarizes the list of our works that contain researches about optimality principles for the "n-person prisoner's dilemma" game. The classic model is considered through the new payoff function for each player that allows to consider it without restrictions for the number of players. The new characteristic function gives an opportunity to introduce the time-consistent subset of the core of the dynamic game. In accordance with this type of game we consider some specific properties of players' payoffs and construct the new way of their interactions. Using the network representation, the classic model is modified to the wider class of games that allows to specify players' influence to each other's payoff function. These investigations can be used for the description of cooperation in the other multi-agent systems.
具有不同交互类型的多智能体系统中的协作
本文总结了我们对“n人囚徒困境”博弈的最优性原则的研究成果。经典模型是通过每个玩家的新收益函数来考虑的,允许在不受玩家数量限制的情况下考虑它。新的特征函数为引入动态博弈核心的时间一致性子集提供了机会。根据这种类型的游戏,我们考虑了玩家收益的一些特定属性,并构建了新的互动方式。使用网络表示,经典模型被修改为更广泛的游戏类别,允许指定玩家对彼此收益函数的影响。这些研究可以用于描述其他多智能体系统中的合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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