Information-based Reputation

Sierra, C; Debenham, JK

Information-based Reputation

Sierra, C Debenham, JK

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Publisher:: CNR - National Research Council
Publication Type:: Conference Proceeding
Citation:: Proceedings of the First International Conference on Reputation: Theory and Technology - ICORE 09, 2009, pp. 5 - 19
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Sierra, C	en_US
dc.contributor.author	Debenham, JK	en_US
dc.contributor.editor	Mario Paolucci	en_US
dc.date	2009-03-18	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	Proceedings of the First International Conference on Reputation: Theory and Technology - ICORE 09, 2009, pp. 5 - 19	en_US
dc.identifier.isbn	978-88-85059-27-6	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10892
dc.description.abstract	Information-based agents use tools from information theory to evaluate their utterances and to build their world model. When embedded in a social network these agents measure the strength of information flow in this sense. This leads to a model of information-based reputation in which agents share opinions, and observe the way in which their opinions effect the opinions of others. A method is proposed that supports the deliberative process of combining opinions into a groups reputation. The reliability of agents as opinion givers are measured in terms of the extent to which their opinions differ from that of the group reputation. These reliability measures are used to form an a priori reputation estimate given the individual opinions of a set of independent agents.	en_US
dc.publisher	CNR - National Research Council	en_US
dc.relation.ispartof	Proceedings of the First International Conference on Reputation: Theory and Technology - ICORE 09	en_US
dc.relation.ispartof	International Conference on Reputation: Theory and Technology	en_US
dc.title	Information-based Reputation	en_US
dc.type	Conference Proceeding
utslib.location	Roma, Italy	en_US
utslib.location.activity	Gargonza, Italy	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Gargonza, Italy	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	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Roma, Italy	en_US
pubs.start-date	2009-03-18	en_US

Abstract:

Information-based agents use tools from information theory to evaluate their utterances and to build their world model. When embedded in a social network these agents measure the strength of information flow in this sense. This leads to a model of information-based reputation in which agents share opinions, and observe the way in which their opinions effect the opinions of others. A method is proposed that supports the deliberative process of combining opinions into a groups reputation. The reliability of agents as opinion givers are measured in terms of the extent to which their opinions differ from that of the group reputation. These reliability measures are used to form an a priori reputation estimate given the individual opinions of a set of independent agents.

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

http://hdl.handle.net/10453/10892