Norms assimilation in heterogeneous agent community

Moamin A. Mahmoud, Mohd Sharifuddin Ahmad, Mohd Zaliman Mohd Yusoff, Aida Mustapha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes a norms assimilation theory, in which a new agent attempts to assimilate with a social group’s norms. This theory builds an approach to norm assimilation, analyzes the cases for an agent to decide to assimilate with a social group and develops a mathematical model to measure the assimilation cost and the agent’s ability. Developing the norms assimilation theory is 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 belief 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.

Original languageEnglish
Title of host publicationPRIMA 2014
Subtitle of host publicationPrinciples and Practice of Multi-Agent Systems - 17th International Conference, Proceedings
PublisherSpringer Verlag
Pages311-318
Number of pages8
ISBN (Electronic)9783319131900
Publication statusPublished - 01 Jan 2014
Event17th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2014 - Gold Coast, Australia
Duration: 01 Dec 201405 Dec 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8861
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2014
CountryAustralia
CityGold Coast
Period01/12/1405/12/14

Fingerprint

Heterogeneous Agents
Norm
Costs
Join
Mathematical models
Community
Mathematical Model
Internal
Beliefs

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

A. Mahmoud, M., Ahmad, M. S., Mohd Yusoff, M. Z., & Mustapha, A. (2014). Norms assimilation in heterogeneous agent community. In PRIMA 2014: Principles and Practice of Multi-Agent Systems - 17th International Conference, Proceedings (pp. 311-318). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8861). Springer Verlag.
A. Mahmoud, Moamin ; Ahmad, Mohd Sharifuddin ; Mohd Yusoff, Mohd Zaliman ; Mustapha, Aida. / Norms assimilation in heterogeneous agent community. PRIMA 2014: Principles and Practice of Multi-Agent Systems - 17th International Conference, Proceedings. Springer Verlag, 2014. pp. 311-318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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A. Mahmoud, M, Ahmad, MS, Mohd Yusoff, MZ & Mustapha, A 2014, Norms assimilation in heterogeneous agent community. in PRIMA 2014: Principles and Practice of Multi-Agent Systems - 17th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8861, Springer Verlag, pp. 311-318, 17th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2014, Gold Coast, Australia, 01/12/14.

Norms assimilation in heterogeneous agent community. / A. Mahmoud, Moamin; Ahmad, Mohd Sharifuddin; Mohd Yusoff, Mohd Zaliman; Mustapha, Aida.

PRIMA 2014: Principles and Practice of Multi-Agent Systems - 17th International Conference, Proceedings. Springer Verlag, 2014. p. 311-318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8861).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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A. Mahmoud M, Ahmad MS, Mohd Yusoff MZ, Mustapha A. Norms assimilation in heterogeneous agent community. In PRIMA 2014: Principles and Practice of Multi-Agent Systems - 17th International Conference, Proceedings. Springer Verlag. 2014. p. 311-318. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).