多智能体系统中没有免费的午餐——一种博弈论建模的特征分布方法

S. Johansson
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引用次数: 0

摘要

我们引入了特征分布的概念,它是一种表示多智能体系统中不同行为的收益信息的方法。我们将讨论如何使用它们来简化和构建策略分析,并证明i)给定特定行为的最优环境的存在,以及ii)当采取所有可能的环境时,所有行为的回报都是相等的(策略没有免费午餐定理)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
No free lunches in multi-agent systems,-a characteristic distribution approach to game theoretic modelling
We introduce the notion of Characteristic Distributions which is a way of representing information about the payoffs of different behaviors in a Multi-agent System. We discuss how they can be used to simplify and structure the analysis of strategies and prove i) the existence of optimal environments, given a certain behavior, and ii) that all behaviors payoff equally, when taken over all possible environments (no free lunch theorem for strategies).
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