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...
Saved in:
Main Authors: | , , |
---|---|
Format: | Conference Paper |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://dspace.uniten.edu.my:8080/jspui/handle/123456789/674 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-674 |
---|---|
record_format |
dspace |
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 |
13.214268 |