Publication:
An Adjustable Autonomy Management Module for Multi-agent Systems

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dc.citedby3
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorMustapha A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorid37036085800en_US
dc.contributor.authorid57200530694en_US
dc.contributor.authorid56036880900en_US
dc.contributor.authorid55247787300en_US
dc.date.accessioned2023-05-29T06:39:51Z
dc.date.available2023-05-29T06:39:51Z
dc.date.issued2017
dc.descriptionFlight dynamics; Information systems; Multi agent systems; Software agents; Unmanned aerial vehicles (UAV); Adjustable autonomy; Aerial surveillance; Autonomous action; Autonomous unmanned aerial vehicles; Design and Development; Dynamic environments; Human agent interactions; Research issues; Autonomous agentsen_US
dc.description.abstractThe design and development of software agents that perform adjustable autonomous actions in dynamic environments is a challenging research issue. Adjustable autonomous agents operate according to a spectrum of autonomy states. The autonomy states are dynamically adjusted to improve the agents' performance and avoid autonomy surprises. For instance, the agents need to be guided or improvise when they encounter unplanned events. In this paper, we propose an Adjustable Autonomy Management (AAM) module for multi-agent systems. We integrate the AAM module within a BDI agent's architecture to form an adjustable autonomous agent. The AAM module enables the agent to internally adjust its autonomy and handles external autonomy adjustments. We apply the agents in an autonomous Unmanned Aerial Vehicle (UAV) system. We test the UAV in a dynamic environment via experimenting aerial surveillance missions. The test results show that the agent-based UAV system successfully operates in the dynamic environment and performs the aerial surveillance missions. Subsequently, the AAM module is able to manage agents' autonomy, reduce human workload and reduce adjustable autonomy disturbance. � 2018 The Authors.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.procs.2017.12.138
dc.identifier.epage133
dc.identifier.scopus2-s2.0-85041518583
dc.identifier.spage125
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85041518583&doi=10.1016%2fj.procs.2017.12.138&partnerID=40&md5=5968685e9be1e93fcd83087b0d07d84a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23370
dc.identifier.volume124
dc.publisherElsevier B.V.en_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleProcedia Computer Science
dc.titleAn Adjustable Autonomy Management Module for Multi-agent Systemsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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