Titlebook: Learning and Adaption in Multi-Agent Systems; First International Karl Tuyls,Pieter Jan’t Hoen,Sandip Sen Conference proceedings 2006 Spri

返老還童

Multiagent Traffic Management: Opportunities for Multiagent Learning,believe that the domain created by this mechanism and protocol presents many opportunities for multiagent learning on the parts of both classes of agents. In this paper, we identify several of these opportunities and offer a first-cut approach to each.

GREG

An Adaptive Approach for the Exploration-Exploitation Dilemma and Its Application to Economic Systeptive approach relies on the variations of the performance of the agents. To validate the approach, we apply it to economic systems and compare it to two adaptive methods originally proposed by Wilson: one local and one global. Moreover, we compare different exploration strategies and focus on their influence on the performance of the agents.

一起

Implicit Coordination in a Network of Social Drivers: The Role of Information in a Commuting Scenardes, we study the role of agents lying about their choices. We compare these scenarios, concluding that information (from some kind of source) is beneficial in general: lying helps only to a certain extent, and route guidance is the best type of information.

發(fā)現(xiàn)

Multi-type ACO for Light Path Protection, types of ants are used. Ants of the same type collaborate, but are in competition with the ants of other types. The idea is to let each type find a path in the network that is disjoint with that of other types. We also demonstrate a preliminary version of this algorithm in a series of simple experiments.

maroon

https://doi.org/10.1007/11691839Evolution; adaptive agents; agent communication; agent coordination; agent environments; agent programmin

MAL

978-3-540-33053-0Springer-Verlag Berlin Heidelberg 2006

lymphoma

Learning and Adaption in Multi-Agent Systems978-3-540-33059-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

PATHY

semiskilled

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