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Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04)
Adaptive, Confidence-Based Multiagent Negotiation Strategy
New York City, New York, USA
July 19-July 23
ISBN: 0-7695-2092-8
Leen-Kiat Soh, University of Nebraska-Lincoln
Xin Li, University of Nebraska-Lincoln
We propose an adaptive 1-to-many negotiation strategy for multiagent coalition formation in dynamic, uncertain, real-time, and noisy environments. Our strategy focuses on multi-issue negotiations where each issue is a request from the initiating agent to the responding agent. The initiating agent conducts multiple concurrent negotiations with responding agents and in each negotiation it employs (1) a pipelined, one-at-a-time approach, or (2) a confidence-based, packaged approach. In the former, lacking knowledge on the responding agent, it negotiates one issue at a time. In the latter, with confident knowledge of the past behavior of the responding agent, it packages multiple issues into the negotiation. We incorporate this adaptive strategy into a multi-phase coalition formation model (MPCF) in which agents learn to form coalitions and perform global tasks. The MPCF model consists of three phases: coalition planning, coalition instantiation and coalition evaluation. In this paper, we focus on the instantiation phase where the negotiations take place.
Citation:
Leen-Kiat Soh, Xin Li, "Adaptive, Confidence-Based Multiagent Negotiation Strategy," aamas, vol. 3, pp.1048-1055, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004
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