Dear Spiral User, we appreciate your patience during this upgrade which is to benefit our userbase, improve their experience in Spiral, introduce improvements, fixes and maintaining our versioning for future updates. Please note if you encounter any issues in Spiral, please raise a ticket to Research Applications team providing as much detail as possible in order to help us resolve your query. Again, we thank you for your patience and support during the upgrade. Kind Regards, Spiral Upgrade Team.
 
IAMhaggler: A Negotiation Agent for Complex Environments
Author(s)
Williams, CR
Robu, V
Gerding, EH
Jennings, NR
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.
Date Issued
2011-11-04
Citation
New Trends in Agent-Based Complex Automated Negotiations, 2011, 383, pp.151-158
URI
DOI
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 http://dx.doi.org/10.1007/978-3-642-24696-8_10
Subjects
Artificial Intelligence & Image Processing
Publication Status
Published
OA Location
http://eprints.soton.ac.uk/271662/