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:
Online Access:http://dspace.uniten.edu.my:80/jspui/handle/123456789/683
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spelling my.uniten.dspace-6832020-07-21T03:27:20Z 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:80/jspui/handle/123456789/683 10.1016/j.chb.2014.12.030 2-s2.0-84920547588 en Computers in Human Behavior
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
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 http://dspace.uniten.edu.my:80/jspui/handle/123456789/683
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score 13.222552