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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
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. 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.

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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: http://eprints.soton.ac.uk/id/eprint/273104
ISBN: 978-3-642-30736-2
PURE UUID: 389a0da2-ab81-4a9e-9331-36f9adf7bb4b
ORCID for Enrico H. Gerding: ORCID iD orcid.org/0000-0001-7200-552X

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Date deposited: 16 Jan 2012 10:10
Last modified: 15 Mar 2024 03:23

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Contributors

Author: Colin R. Williams
Author: Valentin Robu
Author: Enrico H. Gerding ORCID iD
Author: Nicholas R. Jennings
Editor: Takayuki Ito
Editor: Minjie Zhang
Editor: Valentin Robu
Editor: Tokuro Matsuo

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