Informed Agents: Integrating Data Mining and Agency

Debenham, JK; Simoff, SJ

Informed Agents: Integrating Data Mining and Agency

Debenham, JK Simoff, SJ

Permalink

Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: 4th IFIP International Conference on Artificial Intelligence Applications and Innovations, 2007, pp. 165 - 174
Issue Date:: 2007-01

Closed Access

	Filename	Description	Size
	2007000954.pdf		799.07 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Debenham, JK	en_US
dc.contributor.author	Simoff, SJ	en_US
dc.contributor.editor	Boukis, C	en_US
dc.contributor.editor	Pnevmatikakis, A	en_US
dc.contributor.editor	Polymenakos, L	en_US
dc.date	2007-09-19	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	4th IFIP International Conference on Artificial Intelligence Applications and Innovations, 2007, pp. 165 - 174	en_US
dc.identifier.isbn	978-0-387-74160-4	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1986
dc.description.abstract	We propose that the key to building informed negotiating agents is to develop a form of agency that integrates naturally with data mining and information sources. These agents take their historic observations as primitive, model their changing uncertainty in that information, and 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.	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	4th IFIP International Conference on Artificial Intelligence Applications and Innovations	en_US
dc.relation.ispartof	IFIP International Conference on Artificial Intelligence Applications and Innovations	en_US
dc.relation.isbasedon	10.1007/978-0-387-74161-1_18	en_US
dc.title	Informed Agents: Integrating Data Mining and Agency	en_US
dc.type	Conference Proceeding
utslib.location	USA	en_US
utslib.location.activity	Athens, Greece	en_US
utslib.for	080105 Expert Systems	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
dc.location.activity	Athens, Greece	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	USA	en_US
pubs.start-date	2007-09-19	en_US

Abstract:

We propose that the key to building informed negotiating agents is to develop a form of agency that integrates naturally with data mining and information sources. These agents take their historic observations as primitive, model their changing uncertainty in that information, and 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.

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

http://hdl.handle.net/10453/1986