Building intelligent negotiating agents

Debenham, JK; Simoff, SJ

Building intelligent negotiating agents

Debenham, JK Simoff, SJ

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Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: AI 2006: Advances in Artificial Intelligence, 2006, pp. 413 - 422
Issue Date:: 2006-01

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Field	Value	Language
dc.contributor.author	Debenham, JK	en_US
dc.contributor.author	Simoff, SJ	en_US
dc.contributor.editor	Sattar, A	en_US
dc.contributor.editor	Kang, BH	en_US
dc.date	2006-12-04	en_US
dc.date.issued	2006-01	en_US
dc.identifier.citation	AI 2006: Advances in Artificial Intelligence, 2006, pp. 413 - 422	en_US
dc.identifier.isbn	3-540-49787-0	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1923
dc.description.abstract	We propose that the key to building intelligent negotiating agents is to take an agents historic observations as primitive, to model that agents changing uncertainty in that information, and to use that model as the foundation for the agents reasoning. We describe an agent architecture, with an attendant theory, that is based on that model. In this approach, the utility of contracts, and the trust and reliability of a trading partner are intermediate concepts that an agent may estimate from its information model. This enables us to describe intelligent agents that are not necessarily utility optimisers, that value information as a commodity, and that build relationships with other agents through the trusted exchange of information as well as contracts.	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	AI 2006: Advances in Artificial Intelligence	en_US
dc.relation.ispartof	Australasian Joint Conference on Artificial Intelligence	en_US
dc.relation.isbasedon	10.1007/11941439_45	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Building intelligent negotiating agents	en_US
dc.type	Conference Proceeding
utslib.location	Berlin, Germany	en_US
utslib.location.activity	Hobart, Australia	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Hobart, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Berlin, Germany	en_US
pubs.start-date	2006-12-04	en_US

Abstract:

We propose that the key to building intelligent negotiating agents is to take an agents historic observations as primitive, to model that agents changing uncertainty in that information, and to use that model as the foundation for the agents reasoning. We describe an agent architecture, with an attendant theory, that is based on that model. In this approach, the utility of contracts, and the trust and reliability of a trading partner are intermediate concepts that an agent may estimate from its information model. This enables us to describe intelligent agents that are not necessarily utility optimisers, that value information as a commodity, and that build relationships with other agents through the trusted exchange of information as well as contracts.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/1923