Certainty, trust and evidence: Towards an integrative model of confidence in multi-agent systems

Introducing confidence in multi-agent systems gives agents a form of control in making decisions and helps to improve the decision making process in such systems. Consequently, modeling confidence of agents is important in heterogeneous agent communities. The inability to detect an agent's conf...

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Main Authors:	Basheer, G.S., Ahmad, M.S., Tang, A.Y.C., Graf, S.
Format:	Article
Language:	English
Published:	2017
Subjects:	Certainty Confidence Evidence-based trust Multi-Agent Systems
Online Access:	Computers in Human Behavior http://dspace.uniten.edu.my:8080/jspui/handle/123456789/683

id	uniten-123456789-683
recordtype	eprints
spelling	uniten-123456789-6832017-08-04T07:47:08Z Certainty, trust and evidence: Towards an integrative model of confidence in multi-agent systems Basheer, G.S. Ahmad, M.S. Tang, A.Y.C. Graf, S. Certainty Confidence Evidence-based trust Multi-Agent Systems Introducing confidence in multi-agent systems gives agents a form of control in making decisions and helps to improve the decision making process in such systems. Consequently, modeling confidence of agents is important in heterogeneous agent communities. The inability to detect an agent's confidence can be a reason for inaccurate decision. Several weaknesses have been found in current trust and confidence models in multi-agent systems. Current models propose that the trust of an agent depends on its reputation, past experience, and observations on its behavior. This paper presents another approach to agent-based confidence modeling. Initially, it integrates two confidence requirements, namely, trust and certainty. To further strengthen the model, we include evidence as an additional requirement to the model by which trust and certainty of an agent can be verified. This paper establishes bisection between trust, certainty, and evidence spaces. The modeling mechanism eliminates untrusted opinions, since such certainty level might not be valuable in all states. The proposed technique also separates the global confidence scheme from the local confidence scheme, so as to provide greater reliability for confidence detection. © 2014 Elsevier Ltd. All rights reserved. 2017-08-04T07:47:08Z 2017-08-04T07:47:08Z 2015 Article https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920547588&doi=10.1016%2fj.chb.2014.12.030&partnerID=40&md5=0ecbe14b78d4007b5b75b713ad8e4e55 http://dspace.uniten.edu.my:8080/jspui/handle/123456789/683 10.1016/j.chb.2014.12.030 2-s2.0-84920547588 en Computers in Human Behavior
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Tenaga Nasional
building	UNITEN Institutional Repository
collection	Online Access
language	English
topic	Certainty Confidence Evidence-based trust Multi-Agent Systems
spellingShingle	Certainty Confidence Evidence-based trust Multi-Agent Systems Basheer, G.S. Ahmad, M.S. Tang, A.Y.C. Graf, S. Certainty, trust and evidence: Towards an integrative model of confidence in multi-agent systems
description	Introducing confidence in multi-agent systems gives agents a form of control in making decisions and helps to improve the decision making process in such systems. Consequently, modeling confidence of agents is important in heterogeneous agent communities. The inability to detect an agent's confidence can be a reason for inaccurate decision. Several weaknesses have been found in current trust and confidence models in multi-agent systems. Current models propose that the trust of an agent depends on its reputation, past experience, and observations on its behavior. This paper presents another approach to agent-based confidence modeling. Initially, it integrates two confidence requirements, namely, trust and certainty. To further strengthen the model, we include evidence as an additional requirement to the model by which trust and certainty of an agent can be verified. This paper establishes bisection between trust, certainty, and evidence spaces. The modeling mechanism eliminates untrusted opinions, since such certainty level might not be valuable in all states. The proposed technique also separates the global confidence scheme from the local confidence scheme, so as to provide greater reliability for confidence detection. © 2014 Elsevier Ltd. All rights reserved.
format	Article
author	Basheer, G.S. Ahmad, M.S. Tang, A.Y.C. Graf, S.
author_facet	Basheer, G.S. Ahmad, M.S. Tang, A.Y.C. Graf, S.
author_sort	Basheer, G.S.
title	Certainty, trust and evidence: Towards an integrative model of confidence in multi-agent systems
title_short	Certainty, trust and evidence: Towards an integrative model of confidence in multi-agent systems
title_full	Certainty, trust and evidence: Towards an integrative model of confidence in multi-agent systems
title_fullStr	Certainty, trust and evidence: Towards an integrative model of confidence in multi-agent systems
title_full_unstemmed	Certainty, trust and evidence: Towards an integrative model of confidence in multi-agent systems
title_sort	certainty, trust and evidence: towards an integrative model of confidence in multi-agent systems
publishDate	2017
url	Computers in Human Behavior http://dspace.uniten.edu.my:8080/jspui/handle/123456789/683
first_indexed	2018-09-05T06:50:29Z
last_indexed	2018-09-05T06:50:29Z
_version_	1610749291614175232

Certainty, trust and evidence: Towards an integrative model of confidence in multi-agent systems

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