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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Springer Verlag
2023
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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 |
13.251813 |