A norm assimilation approach for multi-agent systems in heterogeneous communities

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...

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Main Authors: Mahmoud, M.A., Ahmad, M.S., Yusoff, M.Z.M.
Format: Conference Paper
Language:English
Published: 2017
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spelling my.uniten.dspace-4572018-01-25T01:15:26Z A norm assimilation approach for multi-agent systems in heterogeneous communities Mahmoud, M.A. Ahmad, M.S. Yusoff, M.Z.M. 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. 2017-07-26T03:08:29Z 2017-07-26T03:08:29Z 2016 Conference Paper 10.1007/978-3-662-49381-6_34 en Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 9621, 2016, Pages 354-363
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
description 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.
format Conference Paper
author Mahmoud, M.A.
Ahmad, M.S.
Yusoff, M.Z.M.
spellingShingle Mahmoud, M.A.
Ahmad, M.S.
Yusoff, M.Z.M.
A norm assimilation approach for multi-agent systems in heterogeneous communities
author_facet Mahmoud, M.A.
Ahmad, M.S.
Yusoff, M.Z.M.
author_sort Mahmoud, M.A.
title A norm assimilation approach for multi-agent systems in heterogeneous communities
title_short A norm assimilation approach for multi-agent systems in heterogeneous communities
title_full A norm assimilation approach for multi-agent systems in heterogeneous communities
title_fullStr A norm assimilation approach for multi-agent systems in heterogeneous communities
title_full_unstemmed A norm assimilation approach for multi-agent systems in heterogeneous communities
title_sort norm assimilation approach for multi-agent systems in heterogeneous communities
publishDate 2017
_version_ 1644492278741336064
score 13.159267