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Formulating dynamic agents� operational state via situation awareness assessment

Decision making; Distributed computer systems; Intelligent agents; Multi agent systems; Software agents; Adjustable autonomy; Collaborative environments; Dynamic environments; Dynamic interactive systems; Layered Structures; Operational state; Real-time application; Situation awareness; Autonomous a...

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Main Authors: Mostafa S.A., Sharifuddin Ahmad M., Annamalai M., Ahmad A., Gunasekaran S.S.
Other Authors: 37036085800
Format: Article
Published: Springer Verlag 2023
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spelling my.uniten.dspace-225752023-05-29T14:02:11Z Formulating dynamic agents� operational state via situation awareness assessment Mostafa S.A. Sharifuddin Ahmad M. Annamalai M. Ahmad A. Gunasekaran S.S. 37036085800 56491314200 36138644000 55390963300 55652730500 Decision making; Distributed computer systems; Intelligent agents; Multi agent systems; Software agents; Adjustable autonomy; Collaborative environments; Dynamic environments; Dynamic interactive systems; Layered Structures; Operational state; Real-time application; Situation awareness; Autonomous agents Managing autonomy in a dynamic interactive system that contains a mix of human and software agent intelligence is a challenging task. In such systems, giving an agent a complete control over its autonomy is a risky practice while manually setting the agent�s autonomy level is an inefficient approach. This paper addresses this issue via formulating a Situation Awareness Assessment (SAA) technique to assist in determining an appropriate agents� operational state. We propose four operational states of agents� execution cycles; proceed, halt, block and terminate, each of which is determined based on the agents� performance. We apply the SAA technique in a proposed Layered Adjustable Autonomy (LAA) model. The LAA conceptualizes autonomy as a spectrum and is constructed in a layered structure. The SAA and the LAA notions are applicable to humans� and agents� collaborative environment. We provide an experimental scenario to test and validate the proposed notions in a real-time application. � Springer International Publishing Switzerland 2015. Final 2023-05-29T06:02:11Z 2023-05-29T06:02:11Z 2015 Article 10.1007/978-3-319-11218-3_49 2-s2.0-84921535025 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921535025&doi=10.1007%2f978-3-319-11218-3_49&partnerID=40&md5=569709a2d087930ad13a714b5950f2ac https://irepository.uniten.edu.my/handle/123456789/22575 320 Springer Verlag 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 Decision making; Distributed computer systems; Intelligent agents; Multi agent systems; Software agents; Adjustable autonomy; Collaborative environments; Dynamic environments; Dynamic interactive systems; Layered Structures; Operational state; Real-time application; Situation awareness; Autonomous agents
author2 37036085800
author_facet 37036085800
Mostafa S.A.
Sharifuddin Ahmad M.
Annamalai M.
Ahmad A.
Gunasekaran S.S.
format Article
author Mostafa S.A.
Sharifuddin Ahmad M.
Annamalai M.
Ahmad A.
Gunasekaran S.S.
spellingShingle Mostafa S.A.
Sharifuddin Ahmad M.
Annamalai M.
Ahmad A.
Gunasekaran S.S.
Formulating dynamic agents� operational state via situation awareness assessment
author_sort Mostafa S.A.
title Formulating dynamic agents� operational state via situation awareness assessment
title_short Formulating dynamic agents� operational state via situation awareness assessment
title_full Formulating dynamic agents� operational state via situation awareness assessment
title_fullStr Formulating dynamic agents� operational state via situation awareness assessment
title_full_unstemmed Formulating dynamic agents� operational state via situation awareness assessment
title_sort formulating dynamic agents� operational state via situation awareness assessment
publisher Springer Verlag
publishDate 2023
_version_ 1806423422756978688
score 13.222552

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