Multi-agent learning and the descriptive value of simple models

Authors:
Ido Erev;Alvin E. Roth
Affiliations:
Technion, Israel;Harvard University, USA
Venue:
Artificial Intelligence
Year:
2007

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Abstract

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.