IAMhaggler: A negotiation agent for complex environments

Colin R. Williams, Valentin Robu, Enrico H. Gerding, Nicholas R. Jennings

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

23 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationNew Trends in Agent-Based Complex Automated Negotiations
EditorsTakayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo
Pages151-158
Number of pages8
DOIs
Publication statusPublished - 1 Jan 2012
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume383
ISSN (Print)1860-949X

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