Affiliation:
1. Universidad Politécnica de Madrid Centre for Automation and Robotics UPM-CSIC
Abstract
We argue for a morphofunctional approach to emotion modeling that can also aid the design of adaptive embodied systems. By morphofunctionality we target the online change in both structure and function of a system, and relate it to the notion of physiology and emotion in animals. Besides the biological intuition that emotions serve the function of preparing the body, we investigate the control requirements that any morphofunctional autonomous system must face. We argue that changes in morphology modify the dynamics of the system, thus forming a variable structure system (VSS). We introduce some of the techniques of control theory to deal with VSSs and derive a twofold hypothesis: first, the loose coupling between two control systems, in charge of action and action readiness, respectively; second, the formation of patterned metacontrol. Emotional phenomena can be seen as emergent from this control setup.
Subject
Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology
Cited by
3 articles.
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1. Control Function and Biological Carrier in Quantum Model of Emotional Meaning;SIBIRSKIY PSIKHOL ZH;2023
2. Understanding and Machine Consciousness;Journal of Artificial Intelligence and Consciousness;2020-07-21
3. The Embodiment of Synthetic Emotion;Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics;2015