Title of article :
Multi-agent learning and the descriptive value of simple models Original Research Article
Author/Authors :
Ido Erev، نويسنده , , Alvin E. Roth، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
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.
Keywords :
Fictitious play , Reciprocation , Equivalent Number of Observations (ENO) , Reinforcement learning
Journal title :
Artificial Intelligence
Journal title :
Artificial Intelligence