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Development and implementation of a technique for norms-adaptable agents in open multi-agent communities

Computer science; Systems science; Agent based simulation; Mining algorithms; Multi-agent community; nocv1; Normative agents; norms deatetcin; Norms detections; Third parties; Verification process; Multi agent systems

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Main Authors: Mahmoud M., Ahmad M.S., Mohd Yusoff M.Z.
Other Authors: 55247787300
Format: Article
Published: Springer New York LLC 2023
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spelling my.uniten.dspace-226072023-05-29T14:11:19Z Development and implementation of a technique for norms-adaptable agents in open multi-agent communities Mahmoud M. Ahmad M.S. Mohd Yusoff M.Z. 55247787300 56036880900 22636590200 Computer science; Systems science; Agent based simulation; Mining algorithms; Multi-agent community; nocv1; Normative agents; norms deatetcin; Norms detections; Third parties; Verification process; Multi agent systems In open normative multi-agent communities, an agent is not usually and explicitly given the norms of the host agents. Thus, when it is not able to adapt the communities�s norms, it is totally deprived of accessing resources and services from the host. Such circumstance severely affects its performance resulting in failure to achieve its goal. Consequently, this study attempts to overcome this deficiency by proposing a technique that enables an agent to detect the host�s potential norms via self-enforcement and update its norms even in the absence of sanctions from a third-party. The authors called this technique as the potential norms detection technique (PNDT). The PNDT consists of five components: Agent�s belief base; observation process; potential norms mining algorithm (PNMA); verification process; and updating process. The authors demonstrate the operation of the PNMA algorithm by testing it on a typical scenario and analyzing the results on several perspectives. The tests� results show that the PNDT performs satisfactorily albeit the success rate depends on the environment variables settings. � 2016, Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg. Final 2023-05-29T06:11:19Z 2023-05-29T06:11:19Z 2016 Article 10.1007/s11424-016-5036-1 2-s2.0-85003904039 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85003904039&doi=10.1007%2fs11424-016-5036-1&partnerID=40&md5=ffed4006f028fe66faf270d10b84e510 https://irepository.uniten.edu.my/handle/123456789/22607 29 6 1519 1537 Springer New York LLC Scopus
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/
description Computer science; Systems science; Agent based simulation; Mining algorithms; Multi-agent community; nocv1; Normative agents; norms deatetcin; Norms detections; Third parties; Verification process; Multi agent systems
author2 55247787300
author_facet 55247787300
Mahmoud M.
Ahmad M.S.
Mohd Yusoff M.Z.
format Article
author Mahmoud M.
Ahmad M.S.
Mohd Yusoff M.Z.
spellingShingle Mahmoud M.
Ahmad M.S.
Mohd Yusoff M.Z.
Development and implementation of a technique for norms-adaptable agents in open multi-agent communities
author_sort Mahmoud M.
title Development and implementation of a technique for norms-adaptable agents in open multi-agent communities
title_short Development and implementation of a technique for norms-adaptable agents in open multi-agent communities
title_full Development and implementation of a technique for norms-adaptable agents in open multi-agent communities
title_fullStr Development and implementation of a technique for norms-adaptable agents in open multi-agent communities
title_full_unstemmed Development and implementation of a technique for norms-adaptable agents in open multi-agent communities
title_sort development and implementation of a technique for norms-adaptable agents in open multi-agent communities
publisher Springer New York LLC
publishDate 2023
_version_ 1806428052379402240
score 13.222552

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