Influence of dynamic environments on agent strategies

Franz Pieper, Sanaz Mostaghim
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引用次数: 1

Abstract

This paper presents Evolutionary Spatial Games in dynamic environments. This game is a concept based on Evolutionary Game Theory (EGT) and Evolutionary Algorithms (EAs). The main goal is to study the implicit influence of dynamic environments on the behavior of agents in EGT. The paper considers three different types of populations which interact using a modifiable and individualized payoff matrix for their agents. As each agent of a certain type can have a different payoff value than the rest of the population, the populations evolve towards a diverse set of agents. In order to study the diversity in each population, we propose a model based on EAs and study the impact of dynamic environments on the populations and their diversities. The main question to answer is that whether diversity can help to obtain a stable strategy and if the dynamics in a certain environment can influence the Spatial Game. The experiments on three different environments show that the stable strategies can contain a diverse set of agents particularly in dynamic environments.
动态环境对agent策略的影响
本文研究了动态环境下的演化空间博弈。这个游戏是基于进化博弈论(EGT)和进化算法(EAs)的概念。主要目的是研究动态环境对EGT中agent行为的隐式影响。本文考虑了三种不同类型的群体,它们使用一个可修改的和个性化的报酬矩阵来相互作用。由于某一特定类型的个体与群体中的其他个体相比具有不同的收益值,因此群体会向多样化的个体进化。为了研究各种群的多样性,我们提出了一个基于ea的模型,研究动态环境对种群及其多样性的影响。要回答的主要问题是,多样性是否有助于获得稳定的策略,以及特定环境中的动态是否会影响空间博弈。在三种不同环境下的实验表明,稳定策略可以包含多种智能体,特别是在动态环境中。
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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