Publication:
A conceptual model of layered adjustable autonomy

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dc.citedby28
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorAhmad M.S.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.authorid56036880900en_US
dc.contributor.authorid36138644000en_US
dc.contributor.authorid55390963300en_US
dc.contributor.authorid55652730500en_US
dc.date.accessioned2023-12-29T07:45:16Z
dc.date.available2023-12-29T07:45:16Z
dc.date.issued2013
dc.description.abstractAutonomy and autonomous agents are currently the most researched topics in autonomous systems. Issues like autonomy adjustment, autonomy level, and the required degree of autonomy to be performed are investigated. Abstracting an autonomy model poses the problem of identifying specific aspects that merit an autonomous system. In this paper, we propose another model of autonomy that conceptualizes autonomy as a spectrum, which is constructed in a layered structure of a multi-agent environment called Layered Adjustable Autonomy (LAA). The autonomy spectrum of the LAA is divided into adjustable-leveled layers. Each of which has distinct attributes and properties that assist an agent in managing the influences of the environment during its decision-making process. The LAA structure is designed to endorse an agent's qualification to make a decision by setting the degree of autonomy to the agent's choice of decision-making. An Autonomy Analysis Module (AAM) is also proposed to control and delegate the agent's actions at specific autonomy levels. Hence, the AAM determines the threshold of the agent autonomy level to act in its qualified layer. Ultimately, the proposed LAA model will be implemented on an air drone for the purpose of testing and refinement. � 2013 Springer-Verlag.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-642-36981-0_57
dc.identifier.epage630
dc.identifier.scopus2-s2.0-84876261673
dc.identifier.spage619
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84876261673&doi=10.1007%2f978-3-642-36981-0_57&partnerID=40&md5=91e67fdc8b902261c9dd558a69b333b9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30180
dc.identifier.volume206 AISC
dc.pagecount11
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleAdvances in Intelligent Systems and Computing
dc.subjectadjustable autonomy
dc.subjectautonomous systems
dc.subjectdecision-making
dc.subjectLayered Adjustable Autonomy (LAA)
dc.subjectMulti-agent system (MAS)
dc.subjectSoftware agent
dc.subjectDecision making
dc.subjectInformation systems
dc.subjectMulti agent systems
dc.subjectSoftware agents
dc.subjectAdjustable autonomy
dc.subjectAutonomous systems
dc.subjectAutonomy spectrums
dc.subjectDecision making process
dc.subjectDegree of autonomy
dc.subjectLayered Structures
dc.subjectMulti agent system (MAS)
dc.subjectMulti-agent environment
dc.subjectAutonomous agents
dc.titleA conceptual model of layered adjustable autonomyen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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