Cover Image

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

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 depriv...

Full description

Saved in:
Bibliographic Details
Main Authors: Mahmoud, M.A., Ahmad, M.S., Mostafa, S.A.
Format: Article
Language:English
Published: 2020
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-13264
record_format dspace
spelling my.uniten.dspace-132642020-07-03T03:17:11Z Norm-based behavior regulating technique for multi-agent in complex adaptive systems Mahmoud, M.A. Ahmad, M.S. Mostafa, S.A. 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. 2020-02-03T03:31:25Z 2020-02-03T03:31:25Z 2019 Article 10.1109/ACCESS.2019.2939019 en
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 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.
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_facet Mahmoud, M.A.
Ahmad, M.S.
Mostafa, S.A.
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
publishDate 2020
_version_ 1672614218709336064
score 13.211869

Similar Items