Stochastic Automata Games

B. Chandrasekaran, D. Shen
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引用次数: 34

Abstract

The collective behavior of finite state stochastic automata is considered, which is of interest in view of the possibility of modeling group behavior of subjects in terms of these automata. The natural language for considering the collective behavior is that of game theory. After a brief introduction to a class of deterministic automata, the stochastic automaton is formulated and a nonlinear reinforcement specified. The finite state stochastic automaton is first considered in a game with nature, and conditions under which the automaton's winnings reach the Von Neumann value of the game are established. Next, two stochastic automata with an arbitrary number of states for each are considered in a game, the game matrix being specified. Performance of the automata for various conditions on the elements of the game matrix is considered. In a comparison of performance with deterministic automata, it is established that, for performance comparable to that of the finite state stochastic automaton, the deterministic automaton needs an infinite number of states. Finally, some games are simulated on a computer which verifies the general analysis and further sheds light on the details of the game.
随机自动机对策
考虑了有限状态随机自动机的集体行为,考虑到用这些自动机建模主体群体行为的可能性,这是一个有趣的问题。考虑集体行为的自然语言是博弈论。在简要介绍了一类确定性自动机之后,给出了随机自动机的公式,并指定了非线性强化。首先在具有自然性质的博弈中考虑有限状态随机自动机,并建立了自动机的收益达到博弈的冯诺依曼值的条件。接下来,在博弈中考虑两个随机自动机,每个自动机具有任意数量的状态,并指定博弈矩阵。考虑了自动机在博弈矩阵元素上的各种条件下的性能。通过与确定性自动机的性能比较,证明了确定性自动机需要无限个状态,才能与有限状态随机自动机的性能相媲美。最后,在计算机上模拟了一些游戏,验证了一般分析,并进一步阐明了游戏的细节。
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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