Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/8262
Title: A norm assimilation approach for multi-agent systems in heterogeneous communities
Authors: Mahmoud, M.A. 
Ahmad, M.S. 
Yusoff, M.Z.M. 
Issue Date: 2016
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 9621, 2016, Pages 354-363 
Abstract: In a heterogeneous community, which constitutes a number of social groups that adopt different social norms, norm assimilation is considered as the main problem for a new member to join a desired social group. Studies in norm assimilation seem to be lacking in concept and theory within this research domain. Consequently, this paper proposes a norm assimilation approach, in which a new agent attempts to join a social group via assimilating with the social group’s norms. Several cases are considered for an agent’s decision which are, can assimilate, could assimilate, and cannot assimilate. We develop the norm assimilation approach based on the agent’s internal belief about its ability and its external belief about the assimilation cost of a number of social groups. From its beliefs about its ability and assimilation cost, it is able to decide whether to proceed or decline the assimilation with a specific social group or join another group © Springer-Verlag Berlin Heidelberg 2016.
URI: http://dspace.uniten.edu.my/jspui/handle/123456789/8262
DOI: 10.1007/978-3-662-49381-6_34
Appears in Collections:CCI Scholarly Publication

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