Publication: Formulating dynamic agents� operational state via situation awareness assessment
Date
2015
Authors
Mostafa S.A.
Sharifuddin Ahmad M.
Annamalai M.
Ahmad A.
Gunasekaran S.S.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Verlag
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.
Description
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