An autonomy viability assessment matrix for agent-based autonomous systems

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.