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7

AI
2007
Springer

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Multi-agent learning and the descriptive value of simple models

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Multi-agent learning and the descriptive value of simple models

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Behavioral research suggests that human learning in some multi-agent systems can be predicted with surprisingly simple “foresight-free” models. The current note discusses the implications of this research, and its relationship to the observation that social interactions tend to complicate learning. © 2007 Elsevier B.V. All rights reserved.

Ido Erev, Alvin E. Roth

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AI 2007 | Artificial Intelligence | Behavioral Research | Human Learning | Multi-agent Systems |

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Added	08 Dec 2010
Updated	08 Dec 2010
Type	Journal
Year	2007
Where	AI
Authors	Ido Erev, Alvin E. Roth

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