Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/366
Title: A norms mining approach to norms detection in multi-agent systems
Authors: Mahmoud, M.A. 
Ahmad, M.S. 
Ahmad, A. 
Mohd Yusoff, M.Z. 
Mustapha, A. 
Keywords: Intelligent Software Agents
Normative Systems
Norms Detection
Norms Identification
Norms
Issue Date: 2012
Conference: 2012 International Conference on Computer and Information Science 
Abstract: 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.
URI: https://pure.uniten.edu.my/en/persons/azhana-ahmad/publications/
DOI: DO - 10.1109/ICCISci.2012.6297289
Appears in Collections:CSIT Scholarly Publication

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