From Maps to Metabolism: Historical Precedents and a Unified Critique of Computationalism
Abstract
Alexander Lerchner's recent work on the 'abstraction fallacy' argues that computational functionalism confuses physical processes with abstract descriptions, and that symbolic computation alone cannot instantiate consciousness. Yet these claims were anticipated by Korzybski's map-territory distinction, Searle's critique of strong artificial intelligence, Floridi's levels of abstraction, Spencer et al.'s observer-relativity arguments, Winograd and Flores's account of computation as socially grounded practice, and Nasuto and Bishop's biological arguments. Synthesizing these contributions, this paper advances a form of non-computational physicalism: consciousness depends upon intrinsically organized, metabolically grounded physical dynamics rather than abstract computation, whilst leaving open the possibility of artificial consciousness. An objection is that this critique targets an outdated computationalism. Mechanistic computationalism, associated with Milkowski, Piccinini, Craver, Bechtel, and Kaplan, treats computation as a property of physically realized mechanisms rather than substrate-independent formalism. Although this represents an important advance, it does not dissolve the abstraction fallacy. Computational attributions remain dependent upon choices of state individuation, system boundaries, and interpretive mapping that are not determined by physical facts alone. Kaplan and Craver's 'model-to-mechanism mapping' constrains computational descriptions without eliminating their dependence upon an external observer. Grounding computation in neural mechanisms does not confer intrinsic significance or the normativity explored by Bickhard and Nasuto and Bishop. The abstraction fallacy persists wherever computational descriptions are treated as constitutive of, rather than descriptive of, physical reality.
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BibTeX
@misc{bishop2026from,
title = {{From Maps to Metabolism: Historical Precedents and a Unified Critique of Computationalism}},
author = {J. Mark Bishop and Slawomir J. Nasuto},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.06936},
eprint = {2611.06936},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.06936},
}
RIS
TY - UNPB
TI - From Maps to Metabolism: Historical Precedents and a Unified Critique of Computationalism
AU - J. Mark Bishop
AU - Slawomir J. Nasuto
PY - 2026
DA - 2026/11/01
PB - arXiv
DO - 10.48550/arxiv.2611.06936
UR - https://arxiv.org/abs/2611.06936
AB - Alexander Lerchner's recent work on the 'abstraction fallacy' argues that computational functionalism confuses physical processes with abstract descriptions, and that symbolic computation alone cannot instantiate consciousness. Yet these claims were anticipated by Korzybski's map-territory distinction, Searle's critique of strong artificial intelligence, Floridi's levels of abstraction, Spencer et al.'s observer-relativity arguments, Winograd and Flores's account of computation as socially grounded practice, and Nasuto and Bishop's biological arguments. Synthesizing these contributions, this paper advances a form of non-computational physicalism: consciousness depends upon intrinsically organized, metabolically grounded physical dynamics rather than abstract computation, whilst leaving open the possibility of artificial consciousness. An objection is that this critique targets an outdated computationalism. Mechanistic computationalism, associated with Milkowski, Piccinini, Craver, Bechtel, and Kaplan, treats computation as a property of physically realized mechanisms rather than substrate-independent formalism. Although this represents an important advance, it does not dissolve the abstraction fallacy. Computational attributions remain dependent upon choices of state individuation, system boundaries, and interpretive mapping that are not determined by physical facts alone. Kaplan and Craver's 'model-to-mechanism mapping' constrains computational descriptions without eliminating their dependence upon an external observer. Grounding computation in neural mechanisms does not confer intrinsic significance or the normativity explored by Bickhard and Nasuto and Bishop. The abstraction fallacy persists wherever computational descriptions are treated as constitutive of, rather than descriptive of, physical reality.
ER -