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Multiagent Learning on Traffic Lights Control: Effects of Using Shared Information

Multiagent Learning on Traffic Lights Control: Effects of Using Shared Information

Denise de Oliveira, Ana L.C. Bazzan
Copyright: © 2009 |Pages: 15
ISBN13: 9781605662268|ISBN10: 1605662267|EISBN13: 9781605662275
DOI: 10.4018/978-1-60566-226-8.ch015
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MLA

Oliveira, Denise de, and Ana L.C. Bazzan. "Multiagent Learning on Traffic Lights Control: Effects of Using Shared Information." Multi-Agent Systems for Traffic and Transportation Engineering, edited by Ana Bazzan and Franziska Klügl, IGI Global, 2009, pp. 307-321. https://doi.org/10.4018/978-1-60566-226-8.ch015

APA

Oliveira, D. D. & Bazzan, A. L. (2009). Multiagent Learning on Traffic Lights Control: Effects of Using Shared Information. In A. Bazzan & F. Klügl (Eds.), Multi-Agent Systems for Traffic and Transportation Engineering (pp. 307-321). IGI Global. https://doi.org/10.4018/978-1-60566-226-8.ch015

Chicago

Oliveira, Denise de, and Ana L.C. Bazzan. "Multiagent Learning on Traffic Lights Control: Effects of Using Shared Information." In Multi-Agent Systems for Traffic and Transportation Engineering, edited by Ana Bazzan and Franziska Klügl, 307-321. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-226-8.ch015

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Abstract

In a complex multiagent system, agents may have different partial information about the system’s state and the information held by other agents in the system. In a distributed urban traffic control, where each junction has an independent controller, agents that learn can benefit from exchanging information, but this exchange of information may not always be useful. In this chapter the authors analyze how agents can benefit from sharing information in an urban traffic control scenario and the consequences of this cooperation in the performance of the traffic system.

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