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IAMhaggler: A Negotiation Agent for Complex Environments

IAMhaggler: A Negotiation Agent for Complex Environments
IAMhaggler: A Negotiation Agent for Complex Environments
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.
Automated Negotiation, Automated Negotiating Agent Competition
978-3-642-24695-1
151-158
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
Fatima, Shaheen
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
Fatima, Shaheen
Matsuo, Tokuro

Williams, Colin R., Robu, Valentin, Gerding, Enrico H. and Jennings, Nicholas R. (2010) IAMhaggler: A Negotiation Agent for Complex Environments. Ito, Takayuki, Zhang, Minjie, Robu, Valentin, Fatima, Shaheen and Matsuo, Tokuro (eds.) In New Trends in Agent-Based Complex Automated Negotiations. vol. 383, Springer-Verlag. 8 pp, pp. 151-158.

Record type: Conference or Workshop Item (Paper)

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.

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More information

Submitted date: 29 October 2010
Published date: 2010
Venue - Dates: workshop; 2009-01-01, 2010-01-01
Keywords: Automated Negotiation, Automated Negotiating Agent Competition
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 271662
URI: https://eprints.soton.ac.uk/id/eprint/271662
ISBN: 978-3-642-24695-1
PURE UUID: 02e5ad49-6959-46ee-846a-349b1e0bdee7

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Date deposited: 29 Oct 2010 16:15
Last modified: 10 Nov 2017 03:29

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