A new problem for naturalizing logico-mathematical knowledge?

Autores/as

DOI:

https://doi.org/10.5007/1808-1711.2026.e113980

Palabras clave:

Kripke, Philosophy of Mind, Rule-Following, Materialism, Physicalism, Naturalism

Resumen

This article advances a categorial challenge to physicalistic versions of naturalized epistemology as an account of logico-mathematical knowledge and practice. It argues that, qua physically constituted, any putative rule-governed system is logico-mathematically indeterminate: physical facts are systematically insufficient to fix a unique logico-mathematical (L–M) profile to the exclusion of incompossible alternatives.  Building on a Kripkean line of thought concerning the truthmakers of rule attributions and rule applications, the paper develops the point through a Stabler-style mechanism allegedly computing a function f over the natural numbers, and argues that the same finite physical profile equally supports an incompossible alternative function g that coincides with f on all physically realizable cases. The result is that the physical facts fail to determine whether the mechanism determinately and objectively implements any unique or definite L–M rule at all. Crucially, the indeterminacy-generating features exploited by the Stabler-style case are structural: they are characteristic of any finite physical mechanism. Attempts to restore determinacy via counterfactual robustness, normal-operation conditions, or supervenience are argued to be question-begging, since they covertly presuppose precisely the rule whose objective implementation is at issue. The upshot is a dilemma: either determinate L–M rule-following is possible, in which case physicalistic NE is false; or physicalistic NE is true, in which case determinate L–M rule-following (and knowledge) is impossible.

Citas

Buechner, Jeff. 2011. Not Even Computing Machines Can Follow Rules. In: A. Berger (ed.), Saul Kripke. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511780622.015

Buechner, Jeff. 2018. Does Kripke’s Argument Against Functionalism Undermine the Standard View of What Computers Are?. Minds and Machines 28(3): 491–513. https://doi.org/10.1007/s11023-018-9466-5

Burgess, John P. 2016. Kripke on Functionalism. Crítica: Revista Hispanoamericana de Filosofía 48(144): 3–18.

Chalmers, David. 2012. The Varieties of Computation: A Reply. Journal of Cognitive Science 2012(3): 211–48.

Chalmers, David J. 1994. On Implementing a Computation. Minds and Machines 4(4): 391–402. https://doi.org/10.1007/BF00974166

Chalmers, David J. 1996. Does a Rock Implement Every Finite-State Automaton?. Synthese 108(3): 309–33. https://doi.org/10.1007/BF00413692

Chalmers, David J. 2003. Consciousness and Its Place in Nature. In: S. P. Stich; T. A Warfield (eds.), The Blackwell Guide to Philosophy of Mind, 1st ed. New York: Wiley. https://doi.org/10.1002/9780470998762.ch5

Chalmers, David J. 1997. The Conscious Mind: In Search of a Fundamental Theory. Philosophy of Mind Series. Oxford: Oxford University Press.

Dennett, D. C. 1987. The Intentional Stance. Cambridge, MA: The MIT Press.

Godfrey-Smith, Peter. 2009. Triviality Arguments against Functionalism. Philosophical Studies 145(2): 273–95. https://doi.org/10.1007/s11098-008-9231-3

Husserl, Edmund. 2001. Logical Investigations Vol. 1. Trans. J.N. Findlay. International Library of Philosophy. London: Routledge.

Kripke, Saul A. 1982. Wittgenstein on Rules and Private Language: An Elementary Exposition. Repr. Cambridge, MA: Harvard Univ. Press.

McLaughlin, Brian; Bennett, Karen. 2023. Supervenience. In: E.N. Zalta; U. Nodelman (eds.), The Stanford Encyclopedia of Philosophy, Winter 2023. https://plato.stanford.edu/archives/win2023/entries/supervenience/

Papineau, David. 2023. Naturalism. In: E.N. Zalta; U. Nodelman (eds.), The Stanford Encyclopedia of Philosophy, Fall 2023. https://plato.stanford.edu/archives/fall2023/entries/naturalism/

Piccinini, Gualtiero. 2015. Physical Computation: A Mechanistic Account. Oxford: Oxford University Press.

Putnam, Hilary. 1973. Meaning and Reference. The Journal of Philosophy 70(19): 699. https://doi.org/10.2307/2025079

Putnam, Hilary. 1975a. Minds and Machines. In: Philosophical Papers: Volume 2: Mind, Language and Reality, p.362-385. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511625251.020

Putnam, Hilary. 1975b. The Meaning of ‘Meaning’. In: Philosophical Papers: Volume 2: Mind, Language and Reality, p.215-271. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511625251.014

Putnam, Hilary. 1988. Representation and Reality. Cambridge, MA: The MIT Press.

Ramos Díaz, Antonio. 2019. Mind and Formal Structures: On the Kripke-Ross Argument Against Naturalizing Formal Understanding. PhD Thesis. KU Leuven.

Ramos Díaz, Antonio. 2021. Logical and Mathematical Powers. In: R.C. Koons; J. Orr; W. Simpson (eds.), Neo-Aristotelian Metaphysics and the Theology of Nature. London: Routledge.

Schneider, Susan. 2017a. Does the Mathematical Nature of Physics Undermine Physicalism?. Journal of Consciousness Studies 24(9–10): 7–39.

Schneider, Susan. 2017b. What Breathes Fire into the Equations?: A Response to Critics. Journal of Consciousness Studies 24(9–10): 112–32.

Shagrir, Oron. 2022. The Nature of Physical Computation. New York: Oxford University Press. https://doi.org/10.1093/oso/9780197552384.001.0001

Stabler, Edward P. 1987. Kripke on Functionalism and Automata. Synthese 70(1): 1–22.

Stoljar, Daniel. 2024. Physicalism. In: E.N. Zalta; U. Nodelman (eds.), The Stanford Encyclopedia of Philosophy, Spring 2024. https://plato.stanford.edu/archives/spr2024/entries/physicalism/

Szabó, László E. 2003. Formal Systems as Physical Objects: A Physicalist Account of Mathematical Truth. International Studies in the Philosophy of Science 17(2): 117–25. https://doi.org/10.1080/0269859031000160568

Szabó, László E. 2025. Physicalism Without the Idols of Mathematics. Foundations of Science 30(1): 89–108. https://doi.org/10.1007/s10699-023-09920-1

Publicado

2026-08-12

Número

Sección

Special Issue: On Husserl, the Philosophy of Science and the Future of Philosophy