Purpose: To point out the relevance of Heinz von Foerster’s work to modern embodied cognitive science and artificial intelligence research. Approach: The paper discusses (a) von Foerster’s contributions to understanding the limitations of the computer metaphor which has long dominated cognitive science, and (b) his theories concerning how reality is constructed in organizationally closed organisms, and what the underlying neural mechanisms are. The latter is exemplified with a simple neuro-robotic model that illustrates the constructive and anticipatory nature of memory. Findings: von Foerster’s work on the integration of a radical constructivist philosophy of knowledge construction with models of the underlying neurophysiological and sensorimotor mechanisms is still highly relevant to the understanding of embodied cognition and robotic models thereof. Value: This paper identifies conceptual contributions that von Foerster’s constructivist cybernetics can make to cognitive science’s still limited understanding of the embodiment of cognition and “representation.” Relevance: The paper addresses the relevance of radical constructivism in general, and von Foerster’s work in particular, to modern embodied cognitive science and artificial intelligence research.

Key words: Cognition, cybernetics, artificial intelligence, reality.

Embodied cognition is a hot topic in both cognitive science and AI, despite the fact that there still is relatively little consensus regarding what exactly constitutes ‘embodiment’. While most embodied AI and cognitive robotics research views the body as the physical/sensorimotor interface that allows to ground computational cognitive processes in sensorimotor interactions with the environment, more biologically-based notions of embodied cognition emphasize the fundamental role that the living body – and more specifically its homeostatic/allostatic self-regulation – plays in grounding both sensorimotor interactions and embodied cognitive processes. Adopting the latter position – a multi-tiered affectively embodied view of cognition in living systems – it is further argued that modeling organisms as layered networks of bodily self-regulation mechanisms can make significant contributions to our scientific understanding of embodied cognition.

Key words: allostasis, cognitive systems, grounding, homeostasis, embodied ai, embodied cognition, emotion, intentionality, predictive regulation, representation