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Title: | Agent's autonomy adjustment via situation awareness | Authors: | Mostafa, S.A. Ahmad, M.S. Tang, A.Y.C. Ahmad, A. Annamalai, M. Mustapha, A. |
Keywords: | Active perception (AP) Autonomous agent Autonomy assessment Context awareness (CA) Decision-Making Situation awareness (SA) |
Issue Date: | 2014 | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Abstract: | 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. | URI: | https://pure.uniten.edu.my/en/persons/azhana-ahmad/publications/ | DOI: | 10.1007/978-3-319-05476-6_45 |
Appears in Collections: | CCI Scholarly Publication |
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