基于自动机的自适应行为在博弈经济建模中的应用
Automata-based adaptive behavior for economic modeling using game theory
摘要：
在本文中，我们处理一些具体领域的应用博弈论。这是经济领域建模新方法中的主要模型之一。为此，我们使用遗传自动机，它允许为玩家构建自适应策略。我们解释了如何提出的基于自动机的形式主义-矩阵表示的自动机与多重性-允许定义之间的策略行为的半距离。有了这些工具，我们能够生成一个自动过程来计算实体的紧急系统，这些实体的行为由这些遗传自动机表示。
英文摘要：
In this paper, we deal with some specific domains of applications to game theory. This is one of the major class of models in the new approaches of modelling in the economic domain. For that, we use genetic automata which allow to buid adaptive strategies for the players. We explain how the automata-based formalism proposed - matrix representation of automata with multiplicities - allows to define a semi-distance between the strategy behaviors. With that tools, we are able to generate an automatic processus to compute emergent systems of entities whose behaviors are represented by these genetic automata.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
