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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)
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.
DOI: 10.1007/978-3-319-05476-6_45
Appears in Collections:CCI Scholarly Publication

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