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[CS.AI] From Maps to Metabolism: Historical Precedents and a Unified Critique of Computationalism

Published at: 2026-11-07 22:00 Last updated: 2026-11-08 12:04
#algorithm #AI #Neural

Alexander Lerchner’s recent "abstraction fallacy" claim holds that computational functionalism confuses physical processes with abstract descriptions and that symbolic computation alone cannot instantiate consciousness. This insight was already foreshadowed by Korzybski’s map‑territory distinction, Searle’s critique of strong AI, Floridi’s levels of abstraction, Spencer et al.’s observer‑relativity, Winograd and Flores’s view of computation as socially grounded practice, and the biological arguments of Nasuto and Bishop. Building on these precedents, the paper proposes a non‑computational physicalism: consciousness depends on intrinsically organized, metabolically grounded dynamics rather than on abstract computation, while keeping the door open for artificial consciousness.

A common objection is that the critique targets an outdated version of computationalism. Mechanistic computationalism (Milkowski, Piccinini, Craver, Bechtel, Kaplan) treats computation as a property of physically realized mechanisms rather than as substrate‑independent formalism. Although this shift addresses some early shortcomings, it does not dissolve the abstraction fallacy. Computational attributions remain contingent on choices of state individuation, system boundaries, and interpretive mapping—choices not fixed by physical facts alone. Kaplan and Craver’s “model‑to‑mechanism mapping” constrains computational descriptions but retains dependence on an external observer. Grounding computation in neural mechanisms does not confer intrinsic significance or the normativity explored by Bickhard, Nasuto, and Bishop. As long as computational descriptions are taken as constitutive of reality rather than merely descriptive, the abstraction fallacy persists.

Review: By synthesizing interdisciplinary critiques, the article underscores that consciousness is rooted in metabolic organization rather than computational abstraction, urging future artificial consciousness research to move beyond purely symbolic frameworks and attend to the physical organization that gives rise to experience.

Original Source: https://arxiv.org/abs/2611.06936

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