Automatically assigned DDC number: 00467803

Manually assigned DDC number: 00631

Number of references: 0

Title: Conjectural Equilibrium in Multiagent Learning

Author:

Author:

Subject: Michael P. Wellman,Junling Hu Fwellman Conjectural Equilibrium in Multiagent Learning

Description: . Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents' actions are often not directly observable, and the actions taken by the learning agent can strongly bias which range of behaviors are encountered. We define the concept of a conjectural equilibrium, where all agents' expectations are realized, and each agent responds optimally to its expectations. We present a generic multiagent exchange situation, in which competitive behavior constitutes a conjectural equilibrium. We then introduce an agent that executes a more sophisticated strategic learning strategy, building a model of the response of other agents. We find that the system reliably converges to a conjectural equilibrium, but that the final result achieved is highly sensitive to initial belief. In essence, the strategic learner's actions tend to fulfill its expectations. Depending on the starting point, the agent may be better or...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1998-07-17

Pubyear: 1998

Format: ps

Identifier: http://citeseer.ist.psu.edu/140960.html

Source: http://ftp.eecs.umich.edu/people/wellman/ml98.ps

Language: en

Rights: unrestricted