Robust trust: Prior knowledge, time and context

Debenham, J; Sierra, C

Robust trust: Prior knowledge, time and context

Debenham, J Sierra, C

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Business Information Processing, 2012, 123 LNBIP pp. 1 - 12
Issue Date:: 2012-01-01

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Field	Value	Language
dc.contributor.author	Debenham, J	en_US
dc.contributor.author	Sierra, C https://orcid.org/0000-0003-0839-6233	en_US
dc.date.issued	2012-01-01	en_US
dc.identifier.citation	Lecture Notes in Business Information Processing, 2012, 123 LNBIP pp. 1 - 12	en_US
dc.identifier.isbn	9783642322723	en_US
dc.identifier.issn	1865-1348	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31661
dc.description.abstract	Trust is an agent's expectation of the value it will observe when it evaluates the enactment of another agent's commitment. There are two steps involved in trust: first the action that another agent is expected to enact given that it has made a commitment, and second the expected valuation of that action when the result of that action is eventually consumed. A computational model of trust is presented that takes account of: prior knowledge of other agents, the evolution of trust estimates in time, and the evolution of trust estimates in response to changes in context. This model is founded on the principle of information-based agency that each and every utterance made contains valuable information. The computational basis for the model is substantially simpler and is more theoretically grounded than previously reported. © 2012 Springer-Verlag.	en_US
dc.relation.ispartof	Lecture Notes in Business Information Processing	en_US
dc.relation.isbasedon	10.1007/978-3-642-32273-0_1	en_US
dc.title	Robust trust: Prior knowledge, time and context	en_US
dc.type	Conference Proceeding
utslib.citation.volume	123 LNBIP	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
dc.location.activity	Vienna, Austria
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.publication-status	Published	en_US
pubs.volume	123 LNBIP	en_US

Abstract:

Trust is an agent's expectation of the value it will observe when it evaluates the enactment of another agent's commitment. There are two steps involved in trust: first the action that another agent is expected to enact given that it has made a commitment, and second the expected valuation of that action when the result of that action is eventually consumed. A computational model of trust is presented that takes account of: prior knowledge of other agents, the evolution of trust estimates in time, and the evolution of trust estimates in response to changes in context. This model is founded on the principle of information-based agency that each and every utterance made contains valuable information. The computational basis for the model is substantially simpler and is more theoretically grounded than previously reported. © 2012 Springer-Verlag.

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http://hdl.handle.net/10453/31661