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).
- Submitted Version
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|
|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
|Date Deposited:||29 Oct 2010 16:15|
|Last Modified:||27 Mar 2014 20:17|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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