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

Decision making; Certainty; Confidence; Decision making process; Evidence-based; Heterogeneous agents; Integrative modeling; Local confidence; Trust; Multi agent systems

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Bibliographic Details
Main Authors: Basheer G.S., Ahmad M.S., Tang A.Y.C., Graf S.
Other Authors: 55614274300
Format: Article
Published: Elsevier Ltd 2023
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author Basheer G.S.
Ahmad M.S.
Tang A.Y.C.
Graf S.
author2 55614274300
author_facet 55614274300
Basheer G.S.
Ahmad M.S.
Tang A.Y.C.
Graf S.
author_sort Basheer G.S.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
description Decision making; Certainty; Confidence; Decision making process; Evidence-based; Heterogeneous agents; Integrative modeling; Local confidence; Trust; Multi agent systems
format Article
id my.uniten.dspace-22580
institution Universiti Tenaga Nasional
publishDate 2023
publisher Elsevier Ltd
record_format dspace
spelling my.uniten.dspace-225802023-05-29T14:02:15Z 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. 55614274300 56036880900 36806985400 15050609100 Decision making; Certainty; Confidence; Decision making process; Evidence-based; Heterogeneous agents; Integrative modeling; Local confidence; 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. Final 2023-05-29T06:02:15Z 2023-05-29T06:02:15Z 2015 Article 10.1016/j.chb.2014.12.030 2-s2.0-84920547588 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920547588&doi=10.1016%2fj.chb.2014.12.030&partnerID=40&md5=0ecbe14b78d4007b5b75b713ad8e4e55 https://irepository.uniten.edu.my/handle/123456789/22580 45 307 315 Elsevier Ltd Scopus
spellingShingle 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
title 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_short 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
url_provider http://dspace.uniten.edu.my/