We argue that the concepts of mechanism and autonomy appear to be antagonistic when autonomy is conflated with agency. Once these concepts are disentangled, it becomes clearer how autonomy could emerge from complex forms of control — especially, homeostatic regulatory systems. While research in AI and robotics would do well to continue incorporating biomimetic strategies, we propose that invoking models of allostatic mechanisms is a better way to understand how autonomy in artificial systems can be enhanced.
2023. Reacting and responding to rare, uncertain and unprecedented events. Ergonomics 66:4 ► pp. 454 ff.
Chanet, Corentin & David Eubelen
2019. Towards Autonomous Artificial Agents? Proposal for a Naturalistic Activity-Based Model of (Artificial) Life. In Blended Cognition [Springer Series in Cognitive and Neural Systems, 12], ► pp. 245 ff.
Lowe, Robert, Gordana Dodig-Crnkovic & Alexander Almer
2017. Predictive Regulation in Affective and Adaptive Behaviour. In Advanced Research on Biologically Inspired Cognitive Architectures [Advances in Computational Intelligence and Robotics, ], ► pp. 149 ff.
Vernon, David, Robert Lowe, Serge Thill & Tom Ziemke
2015. Embodied cognition and circular causality: on the role of constitutive autonomy in the reciprocal coupling of perception and action. Frontiers in Psychology 6
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