OAR: A Formal Framework for Multi-Agent Negotiation

Jiaying Shen, Ingo Weber, Victor Lesser

In Multi-Agent systems, agents often need to make decisions about how to interact with each other when negotiating over task allocation. In this paper, we present OAR, a formal framework to address the question of how the agents should interact in an evolving environment in order to achieve their different goals. The traditional categorization of self-interested and cooperative agents is unified by adopting a utility view. We illustrate mathematically that the degree of cooperativeness of an agent and the degree of its self-directness are not directly related. We also show how OAR can be used to evaluate different negotiation strategies and to develop distributed mechanisms that optimize the performance dynamically. This research demonstrates that sophisticated probabilistic modeling can be used to understand the behaviors of a system with complex agent interactions.

Content Area: 1. Agents/Multiagent Systems

Subjects: 7.1 Multi-Agent Systems; 15.3 Control

Submitted: May 10, 2005


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.