A layered adjustable autonomy approach for dynamic autonomy distribution
Autonomy adjustment to a system requires a mechanism to implement the roles of the autonomous entities in the system. The required degree of autonomy to which the autonomous entities adhere is a highly debated topic. On one hand, people argue that strict minimal autonomy to the autonomous entities i...
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my.uniten.dspace-300272023-12-29T15:44:04Z A layered adjustable autonomy approach for dynamic autonomy distribution Mostafa S.A. Ahmad M.S. Annamalai M. Ahmad A. Basheer G.S. 37036085800 56036880900 36138644000 55390963300 55614274300 Adjustable autonomy Autonomy analysis Dynamic autonomy distribution Layered Adjustable Autonomy (LAA) Situation awareness Software agent Autonomy adjustment to a system requires a mechanism to implement the roles of the autonomous entities in the system. The required degree of autonomy to which the autonomous entities adhere is a highly debated topic. On one hand, people argue that strict minimal autonomy to the autonomous entities is sufficient in producing reliable systems. On the other hand, others deliberate that the entities with full autonomic capabilities are essential aspects of advanced intelligent and flexible systems. The adjustable autonomic agent approach can be a solution for both cases. In this paper, we extend the idea of modeling a spectrum of autonomy in a layered structure, where the agents can act at different layers of autonomy in order to fulfill the system's autonomic conditions. Consequently, a logical representation of the conceptual model of Layered Adjustable Autonomy (LAA) is proposed. The LAA model aims to give the system implicit control over the agents' decisions whenever necessary by managing the agents' autonomy, ensuring quality and robust decision-making. An Autonomy Analysis (AAM) and Situation Awareness (SAM) Modules are proposed to attest the dynamic distribution of agent autonomic performance to a degree of autonomy level. � 2013 The authors and IOS Press. All rights reserved. Final 2023-12-29T07:44:04Z 2023-12-29T07:44:04Z 2013 Conference paper 10.3233/978-1-61499-254-7-335 2-s2.0-84894681535 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894681535&doi=10.3233%2f978-1-61499-254-7-335&partnerID=40&md5=eb5475e9fe0b3de1ace0e12f1301fe21 https://irepository.uniten.edu.my/handle/123456789/30027 252 335 345 Scopus |
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Adjustable autonomy Autonomy analysis Dynamic autonomy distribution Layered Adjustable Autonomy (LAA) Situation awareness Software agent |
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Adjustable autonomy Autonomy analysis Dynamic autonomy distribution Layered Adjustable Autonomy (LAA) Situation awareness Software agent Mostafa S.A. Ahmad M.S. Annamalai M. Ahmad A. Basheer G.S. A layered adjustable autonomy approach for dynamic autonomy distribution |
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Autonomy adjustment to a system requires a mechanism to implement the roles of the autonomous entities in the system. The required degree of autonomy to which the autonomous entities adhere is a highly debated topic. On one hand, people argue that strict minimal autonomy to the autonomous entities is sufficient in producing reliable systems. On the other hand, others deliberate that the entities with full autonomic capabilities are essential aspects of advanced intelligent and flexible systems. The adjustable autonomic agent approach can be a solution for both cases. In this paper, we extend the idea of modeling a spectrum of autonomy in a layered structure, where the agents can act at different layers of autonomy in order to fulfill the system's autonomic conditions. Consequently, a logical representation of the conceptual model of Layered Adjustable Autonomy (LAA) is proposed. The LAA model aims to give the system implicit control over the agents' decisions whenever necessary by managing the agents' autonomy, ensuring quality and robust decision-making. An Autonomy Analysis (AAM) and Situation Awareness (SAM) Modules are proposed to attest the dynamic distribution of agent autonomic performance to a degree of autonomy level. � 2013 The authors and IOS Press. All rights reserved. |
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37036085800 |
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37036085800 Mostafa S.A. Ahmad M.S. Annamalai M. Ahmad A. Basheer G.S. |
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Conference paper |
author |
Mostafa S.A. Ahmad M.S. Annamalai M. Ahmad A. Basheer G.S. |
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Mostafa S.A. |
title |
A layered adjustable autonomy approach for dynamic autonomy distribution |
title_short |
A layered adjustable autonomy approach for dynamic autonomy distribution |
title_full |
A layered adjustable autonomy approach for dynamic autonomy distribution |
title_fullStr |
A layered adjustable autonomy approach for dynamic autonomy distribution |
title_full_unstemmed |
A layered adjustable autonomy approach for dynamic autonomy distribution |
title_sort |
layered adjustable autonomy approach for dynamic autonomy distribution |
publishDate |
2023 |
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1806426503222657024 |
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13.19449 |