城市交通优化的协同多智能体系统

Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004). Pub Date : 2004-09-20 DOI:10.1109/IAT.2004.1342941

E. Bitting, A. Ghorbani

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引用次数: 9

摘要

讨论了在合作环境中信任他人的风险和收益，并利用社会理性的概念在自主理性主体(效用最大化者)领域建立了这些概念。本文介绍了一个交通模拟来测试本文提出的思想。该仿真由合作自治体控制的红绿灯组成，每个自治体都被赋予实现社会理性的机制。使用合作交通代理的结果与部署非合作代理的控制模拟结果进行了比较。结果可以预见地表明，与非合作代理相比，合作代理会损失局部效率，而获得全局效率。

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Cooperative multiagent systems for the optimization of urban traffic

The risks and benefits of trusting others in a cooperative context is discussed and the notion of social rationality is used to establish these ideas in the realm of autonomous rational agents (utility maximizers). A traffic simulation is introduced to test the ideas presented in this work. The simulation consists of traffic lights controlled by cooperative autonomous agents, each of whom is given mechanisms to implement social rationality. Results using cooperative traffic agents are compared to results of control simulations where non-cooperative agents were deployed. Results predictably show a loss of local efficiency and a gain of global efficiency with the cooperative agents in comparison to their non-cooperative counterparts.

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Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).

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