IAMhaggler2011: A Gaussian Process Regression based Negotiation Agent


Williams, Colin R., Robu, Valentin, Gerding, Enrico H. and Jennings, Nicholas R. (2012) IAMhaggler2011: A Gaussian Process Regression based Negotiation Agent. In, Ito, Takayuki, Zhang, Minjie, Robu, Valentin and Matsuo, Tokuro (eds.) Complex Automated Negotiations: Theories, Models, and Software Competitions. Berlin, DE, Springer-Verlag, 209-212. (Studies in Computational Intelligence, 435). (doi:10.1007/978-3-642-30737-9_14).

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Description/Abstract

We describe the strategy used by our agent, IAMhaggler2011, which finished in third place in the 2011 Automated Negotiating Agent Competition. A key feature of this agent is the way in which it models the likely negotiation behaviour of its opponent. Specifically, it first uses a Gaussian process regression technique to estimate the future concession of its negotiation opponent. Its concession is then set as a best response to this prediction.

Item Type: Book Section
ISBNs: 9783642307362 (hardback)
9783642307379 (electronic)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > Agents, Interactions & Complexity
Item ID: 273104
Date Deposited: 16 Jan 2012 10:10
Last Modified: 23 Feb 2013 17:10
Contributors: Williams, Colin R. (Author)
Robu, Valentin (Author)
Gerding, Enrico H. (Author)
Jennings, Nicholas R. (Author)
Ito, Takayuki (Editor)
Zhang, Minjie (Editor)
Robu, Valentin (Editor)
Matsuo, Tokuro (Editor)
Date: 2012
Status: Published
Publisher: Springer-Verlag
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/273104

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