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Formulating dynamic agents� operational state via situation awareness assessment

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dc.citedby18
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorSharifuddin Ahmad M.en_US
dc.contributor.authorAnnamalai M.en_US
dc.contributor.authorAhmad A.en_US
dc.contributor.authorGunasekaran S.S.en_US
dc.contributor.authorid37036085800en_US
dc.contributor.authorid56491314200en_US
dc.contributor.authorid36138644000en_US
dc.contributor.authorid55390963300en_US
dc.contributor.authorid55652730500en_US
dc.date.accessioned2023-05-29T06:02:11Z
dc.date.available2023-05-29T06:02:11Z
dc.date.issued2015
dc.descriptionDecision 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 agentsen_US
dc.description.abstractManaging 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-319-11218-3_49
dc.identifier.scopus2-s2.0-84921535025
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84921535025&doi=10.1007%2f978-3-319-11218-3_49&partnerID=40&md5=569709a2d087930ad13a714b5950f2ac
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22575
dc.identifier.volume320
dc.pagecount20
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleAdvances in Intelligent Systems and Computing
dc.titleFormulating dynamic agents� operational state via situation awareness assessmenten_US
dc.typeArticleen_US
dspace.entity.typePublication
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