A norms mining approach to norms detection in multi-agent systems

In this paper, we propose a norms mining technique for a visitor agent to detect the norms of a community of local agents to comply with the community's normative protocol. In this technique, the visitor agent is equipped with an algorithm, which detects the potential norms through the system&#...

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Main Authors: Mahmoud M.A., Ahmad M.S., Ahmad A., Mohd Yusoff M.Z., Mustapha A.
Other Authors: 55247787300
Format: Conference paper
Published: 2023
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spelling my.uniten.dspace-303372023-12-29T15:46:50Z A norms mining approach to norms detection in multi-agent systems Mahmoud M.A. Ahmad M.S. Ahmad A. Mohd Yusoff M.Z. Mustapha A. 55247787300 56036880900 55390963300 22636590200 57200530694 Intelligent Software Agents Normative Systems Norms Norms Detection Norms Identification Multi agent systems Technology Data formatting Intelligent software agent Log file Mining operations Mining techniques Multi agent system (MAS) Normative system Norms Security issues Information science In this paper, we propose a norms mining technique for a visitor agent to detect the norms of a community of local agents to comply with the community's normative protocol. In this technique, the visitor agent is equipped with an algorithm, which detects the potential norms through the system's log file, interactions with the local agents, and observing the local agents in action. The visitor agent detects the norms from these sources depending on their availability. Due to security issues, access is prevented to one or more of these sources. The norms mining technique entails the process of data formatting and filtering and identifying the norms' components that contribute to the strength of the norms. The results of an example mining operation show that the technique is successful in discovering the potential norms. � 2012 IEEE. Final 2023-12-29T07:46:50Z 2023-12-29T07:46:50Z 2012 Conference paper 10.1109/ICCISci.2012.6297289 2-s2.0-84867908113 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867908113&doi=10.1109%2fICCISci.2012.6297289&partnerID=40&md5=f72e594c5c6ee46c92cd101fa63b83f8 https://irepository.uniten.edu.my/handle/123456789/30337 1 6297289 458 463 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/
topic Intelligent Software Agents
Normative Systems
Norms
Norms Detection
Norms Identification
Multi agent systems
Technology
Data formatting
Intelligent software agent
Log file
Mining operations
Mining techniques
Multi agent system (MAS)
Normative system
Norms
Security issues
Information science
spellingShingle Intelligent Software Agents
Normative Systems
Norms
Norms Detection
Norms Identification
Multi agent systems
Technology
Data formatting
Intelligent software agent
Log file
Mining operations
Mining techniques
Multi agent system (MAS)
Normative system
Norms
Security issues
Information science
Mahmoud M.A.
Ahmad M.S.
Ahmad A.
Mohd Yusoff M.Z.
Mustapha A.
A norms mining approach to norms detection in multi-agent systems
description In this paper, we propose a norms mining technique for a visitor agent to detect the norms of a community of local agents to comply with the community's normative protocol. In this technique, the visitor agent is equipped with an algorithm, which detects the potential norms through the system's log file, interactions with the local agents, and observing the local agents in action. The visitor agent detects the norms from these sources depending on their availability. Due to security issues, access is prevented to one or more of these sources. The norms mining technique entails the process of data formatting and filtering and identifying the norms' components that contribute to the strength of the norms. The results of an example mining operation show that the technique is successful in discovering the potential norms. � 2012 IEEE.
author2 55247787300
author_facet 55247787300
Mahmoud M.A.
Ahmad M.S.
Ahmad A.
Mohd Yusoff M.Z.
Mustapha A.
format Conference paper
author Mahmoud M.A.
Ahmad M.S.
Ahmad A.
Mohd Yusoff M.Z.
Mustapha A.
author_sort Mahmoud M.A.
title A norms mining approach to norms detection in multi-agent systems
title_short A norms mining approach to norms detection in multi-agent systems
title_full A norms mining approach to norms detection in multi-agent systems
title_fullStr A norms mining approach to norms detection in multi-agent systems
title_full_unstemmed A norms mining approach to norms detection in multi-agent systems
title_sort norms mining approach to norms detection in multi-agent systems
publishDate 2023
_version_ 1806427815228211200
score 13.214268