IAMhaggler: A Negotiation Agent for Complex Environments


Williams, Colin R., Robu, Valentin, Gerding, Enrico H. and Jennings, Nicholas R. (2010) IAMhaggler: A Negotiation Agent for Complex Environments. In, Ito, Takayuki, Zhang, Minjie, Robu, Valentin, Fatima, Shaheen and Matsuo, Tokuro (eds.) New Trends in Agent-Based Complex Automated Negotiations. Berlin, DE, Springer-Verlag, 151-158. (Studies in Computational Intelligence, 383). (doi:10.1007/978-3-642-24696-8_10).

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Description/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.

Item Type: Book Section
ISBNs: 9783642246951 (hardback)
9783642246968 (electronic)
Related URLs:
Keywords: Automated Negotiation, Automated Negotiating Agent Competition
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 271662
Date Deposited: 29 Oct 2010 16:15
Last Modified: 27 Mar 2014 20:17
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/271662

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