Agent-based simulation in a normative environment using the EPMP domain

Simulation is a way of doing thought experiments besides the deduction and induction methods. Agent-based Simulation (ABS) falls under the domain of artificial intelligence when agent is used to perform certain tasks such as behaviour prediction, optimization of functions or time-constrained work-fl...

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Main Authors: Hamid N.H.A., Ahmad A., Ahmad M.S., Tang Y.C.A., Mustapha A.
Other Authors: 55419558500
Format: Article
Published: 2023
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spelling my.uniten.dspace-300072023-12-29T15:43:57Z Agent-based simulation in a normative environment using the EPMP domain Hamid N.H.A. Ahmad A. Ahmad M.S. Tang Y.C.A. Mustapha A. 55419558500 55390963300 56036880900 36806985400 57200530694 Agent-based simulation EPMP Normative framework Software agent Time-constrained environment Artificial intelligence Software agents Agent based simulation Agent performance Agent-based systems Empirical characteristics EPMP Normative framework Thought experiments Time-constrained environment Constrained optimization Simulation is a way of doing thought experiments besides the deduction and induction methods. Agent-based Simulation (ABS) falls under the domain of artificial intelligence when agent is used to perform certain tasks such as behaviour prediction, optimization of functions or time-constrained work-flow management. This work discussed the use of ABS on a computational normative framework based on a set of empirical characteristics that influence agents' performance in time-constrained environment. The ABS simulates a domain called the Examination Preparation and Moderation Process (EPMP) which entails document submission processes with deadlines. The simulation is conducted in six different environments and the results of the agent performance in each environment are presented and discussed. The results indicate that the simulation conducted in the EPMP is suitable and effective for evaluating normative agent-based systems. � 2013 Asian Network for Scientific Information. Final 2023-12-29T07:43:57Z 2023-12-29T07:43:57Z 2013 Article 10.3923/itj.2013.1213.1219 2-s2.0-84876368254 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876368254&doi=10.3923%2fitj.2013.1213.1219&partnerID=40&md5=b503b4180e2227bdea0400e7db5e4d20 https://irepository.uniten.edu.my/handle/123456789/30007 12 6 1213 1219 All Open Access; Bronze Open Access; Green Open Access 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/
topic Agent-based simulation
EPMP
Normative framework
Software agent
Time-constrained environment
Artificial intelligence
Software agents
Agent based simulation
Agent performance
Agent-based systems
Empirical characteristics
EPMP
Normative framework
Thought experiments
Time-constrained environment
Constrained optimization
spellingShingle Agent-based simulation
EPMP
Normative framework
Software agent
Time-constrained environment
Artificial intelligence
Software agents
Agent based simulation
Agent performance
Agent-based systems
Empirical characteristics
EPMP
Normative framework
Thought experiments
Time-constrained environment
Constrained optimization
Hamid N.H.A.
Ahmad A.
Ahmad M.S.
Tang Y.C.A.
Mustapha A.
Agent-based simulation in a normative environment using the EPMP domain
description Simulation is a way of doing thought experiments besides the deduction and induction methods. Agent-based Simulation (ABS) falls under the domain of artificial intelligence when agent is used to perform certain tasks such as behaviour prediction, optimization of functions or time-constrained work-flow management. This work discussed the use of ABS on a computational normative framework based on a set of empirical characteristics that influence agents' performance in time-constrained environment. The ABS simulates a domain called the Examination Preparation and Moderation Process (EPMP) which entails document submission processes with deadlines. The simulation is conducted in six different environments and the results of the agent performance in each environment are presented and discussed. The results indicate that the simulation conducted in the EPMP is suitable and effective for evaluating normative agent-based systems. � 2013 Asian Network for Scientific Information.
author2 55419558500
author_facet 55419558500
Hamid N.H.A.
Ahmad A.
Ahmad M.S.
Tang Y.C.A.
Mustapha A.
format Article
author Hamid N.H.A.
Ahmad A.
Ahmad M.S.
Tang Y.C.A.
Mustapha A.
author_sort Hamid N.H.A.
title Agent-based simulation in a normative environment using the EPMP domain
title_short Agent-based simulation in a normative environment using the EPMP domain
title_full Agent-based simulation in a normative environment using the EPMP domain
title_fullStr Agent-based simulation in a normative environment using the EPMP domain
title_full_unstemmed Agent-based simulation in a normative environment using the EPMP domain
title_sort agent-based simulation in a normative environment using the epmp domain
publishDate 2023
_version_ 1806423552495190016
score 13.222552