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Norm-based behavior regulating technique for multi-agent in complex adaptive systems

Adaptive systems; Multi agent systems; Virtual reality; Agent based simulation; Complex adaptive systems; Environmental variables; Neutral agents; Normative system; Norms detections; Social norm; Testing cycles; Autonomous agents

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Main Authors: Mahmoud M.A., Ahmad M.S., Mostafa S.A.
Other Authors: 55247787300
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-248782023-05-29T15:28:14Z Norm-based behavior regulating technique for multi-agent in complex adaptive systems Mahmoud M.A. Ahmad M.S. Mostafa S.A. 55247787300 56036880900 37036085800 Adaptive systems; Multi agent systems; Virtual reality; Agent based simulation; Complex adaptive systems; Environmental variables; Neutral agents; Normative system; Norms detections; Social norm; Testing cycles; Autonomous agents In a complex adaptive system, norms are widely used to regulate agents' behavior within a society in which the agents are not explicitly given the norms of different host systems, but instead detect and adapt the norms autonomously. Thus, failing to adopt a host's norms resulting in deprived of accessing resources and services that would severely affect their performance. Few attempts have been made to overcome this problem but proposed solutions lack accuracy in identifying the norms of a domain. Consequently, this paper demonstrates a new effective technique called Regulative Norms Detection Technique (RNDT) to detect norms by analyzing odd events that trigger reward or penalty. Several tests have been conducted on agents exploiting the technique to detect norms in a virtual domain under varying environmental settings. The tests' results show that the RNDT achieve well although the rate of success relies on the environmental variables settings. Specifically, the result shows that the rate of adopting the domain's norms using RNDT is 78.0%. The rate of rewarded agents in three testing cycles increased from 30% to 70%, the rate of neutral agents also increased from 35% to 45%. The most noticeable change is in the penalty case in which 35% of agents are penalized in cycle 1, while in cycle 2 and 3 the rate is maintained at 0.0%. � 2013 IEEE. Final 2023-05-29T07:28:14Z 2023-05-29T07:28:14Z 2019 Article 10.1109/ACCESS.2019.2939019 2-s2.0-85078001437 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078001437&doi=10.1109%2fACCESS.2019.2939019&partnerID=40&md5=1169c50ae8d529cf98948e4a23e76b8b https://irepository.uniten.edu.my/handle/123456789/24878 7 8822680 126662 126678 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. 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/
description Adaptive systems; Multi agent systems; Virtual reality; Agent based simulation; Complex adaptive systems; Environmental variables; Neutral agents; Normative system; Norms detections; Social norm; Testing cycles; Autonomous agents
author2 55247787300
author_facet 55247787300
Mahmoud M.A.
Ahmad M.S.
Mostafa S.A.
format Article
author Mahmoud M.A.
Ahmad M.S.
Mostafa S.A.
spellingShingle Mahmoud M.A.
Ahmad M.S.
Mostafa S.A.
Norm-based behavior regulating technique for multi-agent in complex adaptive systems
author_sort Mahmoud M.A.
title Norm-based behavior regulating technique for multi-agent in complex adaptive systems
title_short Norm-based behavior regulating technique for multi-agent in complex adaptive systems
title_full Norm-based behavior regulating technique for multi-agent in complex adaptive systems
title_fullStr Norm-based behavior regulating technique for multi-agent in complex adaptive systems
title_full_unstemmed Norm-based behavior regulating technique for multi-agent in complex adaptive systems
title_sort norm-based behavior regulating technique for multi-agent in complex adaptive systems
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425978616938496
score 13.222552

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