Publication:
Formulating dynamic agents� operational state via situation awareness assessment

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Date
2015
Authors
Mostafa S.A.
Sharifuddin Ahmad M.
Annamalai M.
Ahmad A.
Gunasekaran S.S.
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Springer Verlag
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Abstract
Managing autonomy in a dynamic interactive system that contains a mix of human and software agent intelligence is a challenging task. In such systems, giving an agent a complete control over its autonomy is a risky practice while manually setting the agent�s autonomy level is an inefficient approach. This paper addresses this issue via formulating a Situation Awareness Assessment (SAA) technique to assist in determining an appropriate agents� operational state. We propose four operational states of agents� execution cycles; proceed, halt, block and terminate, each of which is determined based on the agents� performance. We apply the SAA technique in a proposed Layered Adjustable Autonomy (LAA) model. The LAA conceptualizes autonomy as a spectrum and is constructed in a layered structure. The SAA and the LAA notions are applicable to humans� and agents� collaborative environment. We provide an experimental scenario to test and validate the proposed notions in a real-time application. � Springer International Publishing Switzerland 2015.
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Decision making; Distributed computer systems; Intelligent agents; Multi agent systems; Software agents; Adjustable autonomy; Collaborative environments; Dynamic environments; Dynamic interactive systems; Layered Structures; Operational state; Real-time application; Situation awareness; Autonomous agents
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