Publication: An autonomy viability assessment matrix for agent-based autonomous systems
Date
2016
Authors
Mostafa S.A.
Ahmad M.S.
Ahmad A.
Annamalai M.
Gunasekaran S.S.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
In autonomous systems research, it is unlikely to find two or more autonomy models that have significant match, especially when they represent different domains. Consequently, different concepts and approaches are utilized to construct the autonomy models. These two issues among others pose the difficulty of creating a general matrix or methodology to assess a broad class of autonomy models. In this paper, we propose a novel method to assess and evaluate the viability of agent-based autonomous systems' models. We use an Autonomy Viability Assessment Matrix (AVAM) that consists of three attributes and eleven criteria in the autonomy viability assessment. We apply the matrix on seven autonomy models. We present the assessment result of the AVAM which confirms its ability to assess a broad class of autonomy models. � 2015 IEEE.
Description
Multi agent systems; Robotics; Software agents; Agent based; Assessment matrixes; Autonomous systems; autonomy assessment; Different domains; Situation awareness; Autonomous agents