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A fuzzy framework for modelling confidence in multi-agent system

In open multi-agent systems, agents may hide or lie about information regarding some events. In order to avoid such deception, a multi-agent system must be designed to test the confidence of agents. In this paper, we present a new approach to agent-based confidence modeling. This approach integrates...

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Main Authors: Basheer, G.S., Ahmad, M.S., Tang, A.Y.C.
Format: Conference Paper
Language:English
Published: 2017
Subjects:
Certainty
Confidence
Fuzzy Logic
Importance of Trust
Online Access:http://dspace.uniten.edu.my:8080/jspui/handle/123456789/674
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spelling my.uniten.dspace-6742017-08-04T07:14:27Z A fuzzy framework for modelling confidence in multi-agent system Basheer, G.S. Ahmad, M.S. Tang, A.Y.C. Certainty Confidence Fuzzy Logic Importance of Trust In open multi-agent systems, agents may hide or lie about information regarding some events. In order to avoid such deception, a multi-agent system must be designed to test the confidence of agents. In this paper, we present a new approach to agent-based confidence modeling. This approach integrates two confidence requirements, namely, trust and certainty. We use fuzzy logic in representing the importance of trust and certainty to model an agent's confidence reasoning. The modeling mechanism eliminates the influence of untrusted agents' opinions because certainty level and importance of trust may not be valuable in all circumstances. © 2014 IEEE. 2017-08-04T07:14:26Z 2017-08-04T07:14:26Z 2015 Conference Paper https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937510584&doi=10.1109%2fICIMU.2014.7066635&partnerID=40&md5=3078f59c4f362d91a88d6367f36bef18 http://dspace.uniten.edu.my:8080/jspui/handle/123456789/674 10.1109/ICIMU.2014.7066635 2-s2.0-84937510584 en 6th International Conference on Information Technology and Multimedia at UNITEN: Cultivating Creativity and Enabling Technology Through the Internet of Things
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
Fuzzy Logic
Importance of Trust
spellingShingle Certainty
Confidence
Fuzzy Logic
Importance of Trust
Basheer, G.S.
Ahmad, M.S.
Tang, A.Y.C.
A fuzzy framework for modelling confidence in multi-agent system
description In open multi-agent systems, agents may hide or lie about information regarding some events. In order to avoid such deception, a multi-agent system must be designed to test the confidence of agents. In this paper, we present a new approach to agent-based confidence modeling. This approach integrates two confidence requirements, namely, trust and certainty. We use fuzzy logic in representing the importance of trust and certainty to model an agent's confidence reasoning. The modeling mechanism eliminates the influence of untrusted agents' opinions because certainty level and importance of trust may not be valuable in all circumstances. © 2014 IEEE.
format Conference Paper
author Basheer, G.S.
Ahmad, M.S.
Tang, A.Y.C.
author_facet Basheer, G.S.
Ahmad, M.S.
Tang, A.Y.C.
author_sort Basheer, G.S.
title A fuzzy framework for modelling confidence in multi-agent system
title_short A fuzzy framework for modelling confidence in multi-agent system
title_full A fuzzy framework for modelling confidence in multi-agent system
title_fullStr A fuzzy framework for modelling confidence in multi-agent system
title_full_unstemmed A fuzzy framework for modelling confidence in multi-agent system
title_sort fuzzy framework for modelling confidence in multi-agent system
publishDate 2017
url http://dspace.uniten.edu.my:8080/jspui/handle/123456789/674
_version_ 1644492313270943744
score 13.222552

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