The University of Southampton
University of Southampton Institutional Repository

IAMhaggler2011: A Gaussian Process Regression based Negotiation Agent

IAMhaggler2011: A Gaussian Process Regression based Negotiation Agent
IAMhaggler2011: A Gaussian Process Regression based Negotiation Agent
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.
978-3-642-30736-2
209-212
Springer-Verlag
Williams, Colin R.
6c9b507f-f9d0-4a61-84d4-01a2b311e1e6
Robu, Valentin
36b30550-208e-48d4-8f0e-8ff6976cf566
Gerding, Enrico H.
d9e92ee5-1a8c-4467-a689-8363e7743362
Jennings, Nicholas R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Ito, Takayuki
Zhang, Minjie
Robu, Valentin
Matsuo, Tokuro
Williams, Colin R.
6c9b507f-f9d0-4a61-84d4-01a2b311e1e6
Robu, Valentin
36b30550-208e-48d4-8f0e-8ff6976cf566
Gerding, Enrico H.
d9e92ee5-1a8c-4467-a689-8363e7743362
Jennings, Nicholas R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Ito, Takayuki
Zhang, Minjie
Robu, Valentin
Matsuo, Tokuro

Williams, Colin R., Robu, Valentin, Gerding, Enrico H. and Jennings, Nicholas R. (2012) IAMhaggler2011: A Gaussian Process Regression based Negotiation Agent. Ito, Takayuki, Zhang, Minjie, Robu, Valentin and Matsuo, Tokuro (eds.) In Complex Automated Negotiations: Theories, Models, and Software Competitions. vol. 435, Springer-Verlag. 4 pp, pp. 209-212. (doi:10.1007/978-3-642-30737-9_14).

Record type: Conference or Workshop Item (Paper)

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.

Text acan2011.pdf - Author's Original
Download (199kB)

More information

Submitted date: 14 January 2012
Published date: 2012
Venue - Dates: workshop; 2011-01-01, 2012-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 273104
URI: https://eprints.soton.ac.uk/id/eprint/273104
ISBN: 978-3-642-30736-2
PURE UUID: 389a0da2-ab81-4a9e-9331-36f9adf7bb4b

Catalogue record

Date deposited: 16 Jan 2012 10:10
Last modified: 05 Oct 2018 12:11

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×