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An Adjustable Autonomy Management Module for Multi-agent Systems

Flight 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; Auton...

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Main Authors: Mostafa S.A., Mustapha A., Ahmad M.S., Mahmoud M.A.
Other Authors: 37036085800
Format: Conference Paper
Published: Elsevier B.V. 2023
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id my.uniten.dspace-23370
record_format dspace
spelling my.uniten.dspace-233702023-05-29T14:39:51Z An Adjustable Autonomy Management Module for Multi-agent Systems Mostafa S.A. Mustapha A. Ahmad M.S. Mahmoud M.A. 37036085800 57200530694 56036880900 55247787300 Flight 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 agents The 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. Final 2023-05-29T06:39:51Z 2023-05-29T06:39:51Z 2017 Conference Paper 10.1016/j.procs.2017.12.138 2-s2.0-85041518583 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041518583&doi=10.1016%2fj.procs.2017.12.138&partnerID=40&md5=5968685e9be1e93fcd83087b0d07d84a https://irepository.uniten.edu.my/handle/123456789/23370 124 125 133 All Open Access, Bronze Elsevier B.V. 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 Flight 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 agents
author2 37036085800
author_facet 37036085800
Mostafa S.A.
Mustapha A.
Ahmad M.S.
Mahmoud M.A.
format Conference Paper
author Mostafa S.A.
Mustapha A.
Ahmad M.S.
Mahmoud M.A.
spellingShingle Mostafa S.A.
Mustapha A.
Ahmad M.S.
Mahmoud M.A.
An Adjustable Autonomy Management Module for Multi-agent Systems
author_sort Mostafa S.A.
title An Adjustable Autonomy Management Module for Multi-agent Systems
title_short An Adjustable Autonomy Management Module for Multi-agent Systems
title_full An Adjustable Autonomy Management Module for Multi-agent Systems
title_fullStr An Adjustable Autonomy Management Module for Multi-agent Systems
title_full_unstemmed An Adjustable Autonomy Management Module for Multi-agent Systems
title_sort adjustable autonomy management module for multi-agent systems
publisher Elsevier B.V.
publishDate 2023
_version_ 1806428168947499008
score 13.222552

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