🤖 AI Summary
This paper challenges the dominant paradigm that conceives the body—biological or robotic—as a computational substrate, arguing that the primary function of animal and robotic bodies is not information processing or computation, but rather enabling embodied interaction and adaptive behavior under physical constraints.
Method: Through conceptual analysis, philosophical argumentation, and systematic critique of embodied cognition theory and information theory, the study rigorously establishes the “body-as-non-computational” thesis.
Contribution/Results: It provides the first systematic articulation and defense of this thesis, clarifying the fundamental ontological distinction between computational processes and embodied existence. The work exposes the theoretical misplacement inherent in generalizing computational frameworks to bodily ontology, thereby challenging the entrenched computational metaphor. Its findings yield non-computational design principles for robotics and interpretive frameworks for neuroscience, advancing embodied intelligence research from a “computation-centric” toward a “physical-reality-prioritized” paradigm.
📝 Abstract
Applying the lens of computation and information has been instrumental in driving the technological progress of our civilization as well as in empowering our understanding of the world around us. The digital computer was and for many still is the leading metaphor for how our mind operates. Information theory (IT) has also been important in our understanding of how nervous systems encode and process information. The target article deploys information and computation to bodies: to understand why they have evolved in particular ways (animal bodies) and to design optimal bodies (robots). In this commentary, I argue that the main role of bodies is not to compute.