IAMhaggler: A Negotiation Agent for Complex Environments

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Title: IAMhaggler: A Negotiation Agent for Complex Environments
Authors: Williams, CR
Robu, V
Gerding, EH
Jennings, NR
Item Type: Chapter
Abstract: We describe the strategy used by our agent, IAMhaggler, which finished in third place in the 2010 Automated Negotiating Agent Competition. It uses a concession strategy to determine the utility level at which to make offers. This concession strategy uses a principled approach which considers the offers made by the opponent. It then uses a Pareto-search algorithm combined with Bayesian learning in order to generate a multi-issue offer with a specific utility as given by its concession strategy. © 2012 Springer-Verlag Berlin Heidelberg.
Issue Date: 4-Nov-2011
ISBN: 9783642246951
Start Page: 151
End Page: 158
Journal / Book Title: New Trends in Agent-Based Complex Automated Negotiations
Studies in Computational Intelligence
Volume: 383
Copyright Statement: © Springer Verlag 2011. The final publication is available at Springer via
Keywords: Artificial Intelligence & Image Processing
Publication Status: Published
Open Access location:
Appears in Collections:Faculty of Engineering