Competitive social system with self-organized norms of behavior

机译：具有自组织行为规范的竞争性社会体系

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In multi-agent systems, agents sense their local information, and they estimate the global environment. Autonomous agents should have independent estimation functions according to their local information, and these functions should adapt to the global environment. In this paper, we construct a competitive social system with selfish autonomous agents. The agents interact repeatedly in their alternative actions with other agents as IPD (Iterated Prisoner's Dilemma) games. Computational simulations demonstrate the self-organized behavior of agents' society in such a competitive environment.

机译：在多代理系统中，代理会感知其本地信息，并估算全球环境。自治代理应根据其本地信息具有独立的估计功能，并且这些功能应适应全局环境。在本文中，我们构建了具有自私自主主体的竞争性社会体系。代理人在替代行动中与其他代理人反复交互，例如IPD（囚徒困境）游戏。计算仿真证明了在这样一个竞争环境中代理商社会的自组织行为。

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《Artificial Neural Networks in Engineering Conference (ANNIE'98) held November 1-4, 1998, In St.Louis, Missouri, U.S.A.》|1998年|p.573-578|共6页
会议地点 St. Louis MO(US);St. Louis MO(US)
作者
Takashi Ishida; Hiroshi Yokoi; Yukinori Kakazu;
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正文语种 eng
中图分类自动化技术、计算机技术;
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Competitive social system with self-organized norms of behavior

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