Evolutionary approach to three-person hypergame situation

Evolutionary approach to three-person hypergame situation
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三人超级博弈情境的进化方法

DOI:
10.1109/icsmc.1999.812409
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发表时间:
1999
期刊:
IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028)
影响因子:
--
通讯作者:
B. Nakano
B. Nakano
中科院分区:
--
文献类型:
--
作者:
S. Takahashi;N. Hinago;T. Inohara;B. Nakano

文献摘要

被引文献

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提出了一种进化的方法,超对策的情况下,基于一个三人超对策。我们的进化方法可以主要处理的学习问题,在一个超博弈的情况下建模为网络型动态超博弈(NTDH游戏),它描述了一个社会的情况下,每个代理自主感知的情况下,使他的决定完全基于一个单独的依赖模型。本文采用遗传算法对NTDH博弈进行了模拟。然后,需要改善每个代理的情况下的感知的基本类型的信息被认为是。
Presents an evolutionary approach to the hypergame situation based on a three-person hypergame. Our evolutionary approach could primarily deal with the learning problem in a hypergame situation modeled as a network-type dynamic hypergame (NTDH game), which describes a social situation in which each agent perceives the situation autonomously and makes his decision solely based on an individually dependent model. In the paper an NTDH game is simulated by applying a genetic algorithm. Then the essential types of information be required to improve each agent's perception of the situation are considered.