Agent's autonomy adjustment via situation awareness

Interactions between autonomous agents (humans and software) are necessary to increase the system's awareness, support agents' decision-making abilities and subsequently reduce the risks of failure. The challenge, however, is to formulate a mechanism that specifies when an agent or a human...

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Main Authors: Mostafa S.A., Ahmad M.S., Tang A.Y.C., Ahmad A., Annamalai M., Mustapha A.
Other Authors: 37036085800
Format: Conference Paper
Published: Springer Verlag 2023
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id my.uniten.dspace-22157
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spelling my.uniten.dspace-221572023-05-16T10:47:55Z Agent's autonomy adjustment via situation awareness Mostafa S.A. Ahmad M.S. Tang A.Y.C. Ahmad A. Annamalai M. Mustapha A. 37036085800 56036880900 36806985400 55390963300 36138644000 57200530694 Interactions between autonomous agents (humans and software) are necessary to increase the system's awareness, support agents' decision-making abilities and subsequently reduce the risks of failure. The challenge, however, is to formulate a mechanism that specifies when an agent or a human should take the initiative to interact. In this paper, we propose a Situation Awareness Assessment (SAA) model of autonomy adjustment with situation awareness capabilities in a decentralized environment. The SAA model systematizes the interactions to assist agents' decision-making and improve the systems' performance. The model inspects if an agent has the required awareness of a situation to be satisfactorily autonomous, otherwise, it intervenes the agent with feedback about the situation. An example scenario demonstrates the SAA ability to facilitate improved autonomous behavior in agents. © 2014 Springer International Publishing Switzerland. Final 2023-05-16T02:47:55Z 2023-05-16T02:47:55Z 2014 Conference Paper 10.1007/978-3-319-05476-6_45 2-s2.0-84899921381 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84899921381&doi=10.1007%2f978-3-319-05476-6_45&partnerID=40&md5=f67966b8ac4599c036ae77e28078e05b https://irepository.uniten.edu.my/handle/123456789/22157 8397 LNAI PART 1 443 453 Springer Verlag 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 Interactions between autonomous agents (humans and software) are necessary to increase the system's awareness, support agents' decision-making abilities and subsequently reduce the risks of failure. The challenge, however, is to formulate a mechanism that specifies when an agent or a human should take the initiative to interact. In this paper, we propose a Situation Awareness Assessment (SAA) model of autonomy adjustment with situation awareness capabilities in a decentralized environment. The SAA model systematizes the interactions to assist agents' decision-making and improve the systems' performance. The model inspects if an agent has the required awareness of a situation to be satisfactorily autonomous, otherwise, it intervenes the agent with feedback about the situation. An example scenario demonstrates the SAA ability to facilitate improved autonomous behavior in agents. © 2014 Springer International Publishing Switzerland.
author2 37036085800
author_facet 37036085800
Mostafa S.A.
Ahmad M.S.
Tang A.Y.C.
Ahmad A.
Annamalai M.
Mustapha A.
format Conference Paper
author Mostafa S.A.
Ahmad M.S.
Tang A.Y.C.
Ahmad A.
Annamalai M.
Mustapha A.
spellingShingle Mostafa S.A.
Ahmad M.S.
Tang A.Y.C.
Ahmad A.
Annamalai M.
Mustapha A.
Agent's autonomy adjustment via situation awareness
author_sort Mostafa S.A.
title Agent's autonomy adjustment via situation awareness
title_short Agent's autonomy adjustment via situation awareness
title_full Agent's autonomy adjustment via situation awareness
title_fullStr Agent's autonomy adjustment via situation awareness
title_full_unstemmed Agent's autonomy adjustment via situation awareness
title_sort agent's autonomy adjustment via situation awareness
publisher Springer Verlag
publishDate 2023
_version_ 1806426275402743808
score 13.214268