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Title: A dynamic measurement of agent autonomy in the layered adjustable autonomy model
Authors: Mostafa, S.A. 
Ahmad, M.S. 
Ahmad, A. 
Annamalai, M. 
Mustapha, A. 
Keywords: Autonomy measurement attributes
Layered Adjustable Autonomy (LAA)
Multi-agent system (MAS)
Software agent
Issue Date: 2014
Journal: Studies in Computational Intelligence 
Abstract: In a dynamically interactive systems that contain a mix of humans' and software agents' intelligence, managing autonomy is a challenging task. 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. In this paper, we propose an autonomy measurement mechanism and its related formulae for the Layered Adjustable Autonomy (LAA) model. Our model provides a mechanism that optimizes autonomy distribution, consequently, enabling global control of the autonomous agents that guides or even withholds them whenever necessary. This is achieved by formulating intervention rules on the agents' decision-making capabilities through autonomy measurement criteria. Our aim is to create an autonomy model that is flexible and reliable. © Springer International Publishing Switzerland 2014.
DOI: 10.1007/978-3-319-01787-7_3
Appears in Collections:CCI Scholarly Publication

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