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A dynamic measurement of agent autonomy in the layered adjustable autonomy model

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dc.citedby26
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorAhmad A.en_US
dc.contributor.authorAnnamalai M.en_US
dc.contributor.authorMustapha A.en_US
dc.contributor.authorid37036085800en_US
dc.contributor.authorid56036880900en_US
dc.contributor.authorid55390963300en_US
dc.contributor.authorid36138644000en_US
dc.contributor.authorid57200530694en_US
dc.date.accessioned2023-05-16T02:46:18Z
dc.date.available2023-05-16T02:46:18Z
dc.date.issued2014
dc.description.abstractIn a dynamically interactive systems that contain a mix of humans' and software agents' intelligence, managing autonomy is a challenging task. 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. In this paper, we propose an autonomy measurement mechanism and its related formulae for the Layered Adjustable Autonomy (LAA) model. Our model provides a mechanism that optimizes autonomy distribution, consequently, enabling global control of the autonomous agents that guides or even withholds them whenever necessary. This is achieved by formulating intervention rules on the agents' decision-making capabilities through autonomy measurement criteria. Our aim is to create an autonomy model that is flexible and reliable. © Springer International Publishing Switzerland 2014.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-319-01787-7_3
dc.identifier.epage35
dc.identifier.scopus2-s2.0-84958534584
dc.identifier.spage25
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84958534584&doi=10.1007%2f978-3-319-01787-7_3&partnerID=40&md5=21bad1427a78bb70dfc3b1352422fccd
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/21960
dc.identifier.volume513
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleStudies in Computational Intelligence
dc.titleA dynamic measurement of agent autonomy in the layered adjustable autonomy modelen_US
dc.typeArticleen_US
dspace.entity.typePublication
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