IAMhaggler2011: A Gaussian process regression based negotiation agent

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

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

13 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationComplex Automated Negotiations
Subtitle of host publicationTheories, Models, and Software Competitions
PublisherSpringer
Pages209-212
Number of pages4
ISBN (Print)9783642307362
DOIs
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume435
ISSN (Print)1860-949X

Fingerprint Dive into the research topics of 'IAMhaggler2011: A Gaussian process regression based negotiation agent'. Together they form a unique fingerprint.

Cite this