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Titlebook: Adaptive Agents and Multi-Agent Systems; Adaptation and Multi Eduardo Alonso,Daniel Kudenko,Dimitar Kazakov Conference proceedings 2003 Spr

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Kosten- und Erfolgscontrolling,ainable if the number of endangered ones is of the same order as the number of non-endangered ones. We also discuss niches, islands. Finally, we combine learning as adaptation of individual agents with learning via selection in a population.
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J.-C. Bouret,C. Catala,T. Simonirically evaluate the ability of each metric to predict ruggedness and use these metrics to explain past results showing that problems that yield equal reward when completely learned yield different profits to an adaptive learning agent.
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Conference proceedings 2003nce, computer science, software engineering, and developmental biology, as well as cognitive and social science...This book surveys the state of the art in this emerging field by drawing together thoroughly selected reviewed papers from two related workshops; as well as papers by leading researchers
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Finanzierung und Investitionsrechnung,nd learning using CBR (Case-based Reasoning). We present several collaboration strategies for agents that learn and their empirical results in several experiments. Finally we analyze the collaboration strategies and their results along several dimensions, like number of agents, redundancy, CBR technique used, and individual decision policies.
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Finanzierung und Investitionsrechnung,ission. This observation requires us to reconsider the role of innateness in explaining the characteristic structure of language. The relationship between innate bias and the universal features of language becomes opaque when we consider that significant linguistic evolution can occur as a result of cultural transmission.
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Kosten- und Erfolgscontrolling,orcement learning approaches for such . agents did not guarantee convergence to the optimal joint action in scenarios with high miscoordination costs. We improve on previous results [.] by demonstrating empirically that our extension causes the agents to converge almost always to the optimal joint action even in these difficult cases.
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