Development and implementation of a technique for norms-adaptable agents in open multi-agent communities

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In open normative multi-agent communities, an agent is not usually and explicitly given the norms of the host agents. Thus, when it is not able to adapt the communities’s norms, it is totally deprived of accessing resources and services from the host. Such circumstance severely affects its performance resulting in failure to achieve its goal. Consequently, this study attempts to overcome this deficiency by proposing a technique that enables an agent to detect the host’s potential norms via self-enforcement and update its norms even in the absence of sanctions from a third-party. The authors called this technique as the potential norms detection technique (PNDT). The PNDT consists of five components: Agent’s belief base; observation process; potential norms mining algorithm (PNMA); verification process; and updating process. The authors demonstrate the operation of the PNMA algorithm by testing it on a typical scenario and analyzing the results on several perspectives. The tests’ results show that the PNDT performs satisfactorily albeit the success rate depends on the environment variables settings.

Original languageEnglish
Pages (from-to)1519-1537
Number of pages19
JournalJournal of Systems Science and Complexity
Volume29
Issue number6
DOIs
Publication statusPublished - 01 Dec 2016

Fingerprint

Testing

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Information Systems

Cite this

@article{0489218be021404db083101f41fbef75,
title = "Development and implementation of a technique for norms-adaptable agents in open multi-agent communities",
abstract = "In open normative multi-agent communities, an agent is not usually and explicitly given the norms of the host agents. Thus, when it is not able to adapt the communities’s norms, it is totally deprived of accessing resources and services from the host. Such circumstance severely affects its performance resulting in failure to achieve its goal. Consequently, this study attempts to overcome this deficiency by proposing a technique that enables an agent to detect the host’s potential norms via self-enforcement and update its norms even in the absence of sanctions from a third-party. The authors called this technique as the potential norms detection technique (PNDT). The PNDT consists of five components: Agent’s belief base; observation process; potential norms mining algorithm (PNMA); verification process; and updating process. The authors demonstrate the operation of the PNMA algorithm by testing it on a typical scenario and analyzing the results on several perspectives. The tests’ results show that the PNDT performs satisfactorily albeit the success rate depends on the environment variables settings.",
author = "{A. Mahmoud}, Moamin and Ahmad, {Mohd Sharifuddin} and {Mohd Yusoff}, {Mohd Zaliman}",
year = "2016",
month = "12",
day = "1",
doi = "10.1007/s11424-016-5036-1",
language = "English",
volume = "29",
pages = "1519--1537",
journal = "Journal of Systems Science and Complexity",
issn = "1009-6124",
publisher = "Springer New York",
number = "6",

}

Development and implementation of a technique for norms-adaptable agents in open multi-agent communities. / A. Mahmoud, Moamin; Ahmad, Mohd Sharifuddin; Mohd Yusoff, Mohd Zaliman.

In: Journal of Systems Science and Complexity, Vol. 29, No. 6, 01.12.2016, p. 1519-1537.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Development and implementation of a technique for norms-adaptable agents in open multi-agent communities

AU - A. Mahmoud, Moamin

AU - Ahmad, Mohd Sharifuddin

AU - Mohd Yusoff, Mohd Zaliman

PY - 2016/12/1

Y1 - 2016/12/1

N2 - In open normative multi-agent communities, an agent is not usually and explicitly given the norms of the host agents. Thus, when it is not able to adapt the communities’s norms, it is totally deprived of accessing resources and services from the host. Such circumstance severely affects its performance resulting in failure to achieve its goal. Consequently, this study attempts to overcome this deficiency by proposing a technique that enables an agent to detect the host’s potential norms via self-enforcement and update its norms even in the absence of sanctions from a third-party. The authors called this technique as the potential norms detection technique (PNDT). The PNDT consists of five components: Agent’s belief base; observation process; potential norms mining algorithm (PNMA); verification process; and updating process. The authors demonstrate the operation of the PNMA algorithm by testing it on a typical scenario and analyzing the results on several perspectives. The tests’ results show that the PNDT performs satisfactorily albeit the success rate depends on the environment variables settings.

AB - In open normative multi-agent communities, an agent is not usually and explicitly given the norms of the host agents. Thus, when it is not able to adapt the communities’s norms, it is totally deprived of accessing resources and services from the host. Such circumstance severely affects its performance resulting in failure to achieve its goal. Consequently, this study attempts to overcome this deficiency by proposing a technique that enables an agent to detect the host’s potential norms via self-enforcement and update its norms even in the absence of sanctions from a third-party. The authors called this technique as the potential norms detection technique (PNDT). The PNDT consists of five components: Agent’s belief base; observation process; potential norms mining algorithm (PNMA); verification process; and updating process. The authors demonstrate the operation of the PNMA algorithm by testing it on a typical scenario and analyzing the results on several perspectives. The tests’ results show that the PNDT performs satisfactorily albeit the success rate depends on the environment variables settings.

UR - http://www.scopus.com/inward/record.url?scp=85003904039&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85003904039&partnerID=8YFLogxK

U2 - 10.1007/s11424-016-5036-1

DO - 10.1007/s11424-016-5036-1

M3 - Article

AN - SCOPUS:85003904039

VL - 29

SP - 1519

EP - 1537

JO - Journal of Systems Science and Complexity

JF - Journal of Systems Science and Complexity

SN - 1009-6124

IS - 6

ER -