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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Elsevier B.V.
2023
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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 |
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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 |
13.214268 |