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Learning the Structure of Utility Graphs Used in Multi-issue Negotiation through Collaborative Filtering

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Graphical utility models represent powerful formalisms for modeling complex agent decisions involving multiple issues [2]. In the context of negotiation, it has been shown [10] that using utility graphs enables reaching Pareto-efficient agreements with a limited number of negotiation steps, even for high-dimensional negotiations involving complex complementarity/ substitutability dependencies between multiple issues. This paper considerably extends the results of [10], by proposing a method for constructing the utility graphs of buyers automatically, based on previous negotiation data. Our method is based on techniques inspired from item-based collaborative filtering, used in online recommendation algorithms. Experimental results show that our approach is able to retrieve the structure of utility graphs online, with a high degree of accuracy, even for highly non-linear settings and even if a relatively small amount of data about concluded negotiations is available.

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Citation

Robu, Valentin and La Poutre, J.A. (2009) Learning the Structure of Utility Graphs Used in Multi-issue Negotiation through Collaborative Filtering In, Lecture Notes in Computer Science, vol. 4078. Springer Berlin / Heidelberg pp. 192-209.

More information

Published date: 14 July 2009
Additional Information: Chapter: Multi
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 268206
URI: http://eprints.soton.ac.uk/id/eprint/268206
ISBN: 978-3-642-03337-7
PURE UUID: 97aa259f-6de9-4846-8455-0aa1e3668504

Catalogue record

Date deposited: 13 Nov 2009 14:01
Last modified: 18 Jul 2017 06:56

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Contributors

Author: Valentin Robu
Author: J.A. La Poutre

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