Multi-agent learning and the descriptive value of simple models

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.

• Type: Journal
• Year: 2007
• Where: AI
• Authors: Ido Erev, Alvin E. Roth
• Keywords: AI 2007, Artificial Intelligence, Behavioral Research, Human Learning, Multi-agent Systems