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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my.uniten.dspace-3642017-11-01T07:12:19Z Agent's autonomy adjustment via situation awareness Mostafa, S.A. Ahmad, M.S. Tang, A.Y.C. Ahmad, A. Annamalai, M. Mustapha, A. Active perception (AP) Autonomous agent Autonomy assessment Context awareness (CA) Decision-Making Situation awareness (SA) 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. 2017-07-25T03:13:18Z 2017-07-25T03:13:18Z 2014 Conference Paper https://pure.uniten.edu.my/en/persons/azhana-ahmad/publications/ 10.1007/978-3-319-05476-6_45 2-s2.0-84899921381 en Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Active perception (AP) Autonomous agent Autonomy assessment Context awareness (CA) Decision-Making Situation awareness (SA) |
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Active perception (AP) Autonomous agent Autonomy assessment Context awareness (CA) Decision-Making Situation awareness (SA) Mostafa, S.A. Ahmad, M.S. Tang, A.Y.C. Ahmad, A. Annamalai, M. Mustapha, A. Agent's autonomy adjustment via situation awareness |
| 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. |
| format |
Conference Paper |
| author |
Mostafa, S.A. Ahmad, M.S. Tang, A.Y.C. Ahmad, A. Annamalai, M. Mustapha, A. |
| author_facet |
Mostafa, S.A. Ahmad, M.S. Tang, A.Y.C. Ahmad, A. Annamalai, M. Mustapha, A. |
| 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 |
| publishDate |
2017 |
| _version_ |
1644492232324022272 |
| score |
13.222552 |