Gualtiero Piccinini’s Works (Most of Them)
Comments are always welcome.
Updated: February 2011
Computations and Computers in the Sciences of Mind and Brain.
On Computation in Physical Systems
NB: in the following four papers, I used the term “computation” for what I now call digital computation. For my most recent and general account of computation, see Section 3 of the paper “Information Processing, Computation, and Cognition” (listed below).
Representation,” Philosophical Studies, 137.2 (2008). This is a paper on how to individuate digital
computational states, inputs, and outputs without appealing to semantic
“Computing Mechanisms,” Philosophy
of Science, 74.4 (2007), pp.
501-526. An articulation and defense of the mechanistic account of
digital computing systems.
Philosophical Quarterly, 89.1 (2008), pp. 32-73. Sequel of the above. What computers are according to the
mechanistic account of computing mechanisms. (listed below).
“Some Neural Networks
Compute, Others Don’t,” Neural
Networks, 21.2-3 (2008), pp. 311-321.
A detailed account of digital connectionist computation, both classical
and non-classical, plus a distinction between connectionist systems that
perform digital computations and those that don’t.
· “The Physical Church-Turing Thesis: Modest or Bold?” Forthcoming in British Journal for the Philosophy of Science. Discusses some traditional (bold) formulations of the physical version of the Church-Turing thesis (not to be confused with the mathematical version originally defended by Church and Turing), arguing that they are unsatisfactory because they don’t fit the epistemological notion of computation that motivates the thesis in the first place, and formulates and defends a more satisfactory (modest) formulation of the thesis. [11/10 preprint]
On Computational Theories of Cognition
“Computational Modeling vs. Computational
Explanation: Is Everything a Turing Machine, and Does It Matter to the
Philosophy of Mind?” Australasian Journal of Philosophy, 85.1 (2007), pp. 93-115.
Distinguishes between computational modeling and computational explanation in
terms derived from the mechanistic account of computing mechanisms, and argues
that once that distinction is in place, the thesis that everything is
computational becomes either false or trivial.
the Church-Turing Thesis, and the Church-Turing Fallacy,” Synthese, 154.1 (2007), pp. 97-120. Refutes
three common arguments for computationalism from the Church-Turing Thesis.
Computationalism, and Mental States,” Studies in the History and
Philosophy of Science, 35.4 (2004), pp. 811-833. Argues that although
for historical reasons, philosophers have conflated functionalism and
computationalism, they are two logically independent doctrines.
· “The Mind as Neural Software? Revisiting Functionalism, Computationalism, and Computational Functionalism,” Philosophy and Phenomenological Research, 81.2 (2010), pp. 269-311. This is a relatively detailed analysis of the conceptual relations between the three notions in the title, plus a reformulation of functionalism in mechanistic terms. [final version]
· “Computationalism in the Philosophy of Mind,” Philosophy Compass, 4.3 (2009), pp. 515-532. A review of the state of the art, drawing on some of my other papers. It is mostly superseded by the following paper. [proofs; the published version is here]
· “Computationalism,” forthcoming in the Oxford Handbook of Philosophy and Cognitive Science. Another review of the state of the art, drawing on the previous paper but improving on it in several ways. Section 6, which is on objections to computationalism and is mostly drawn from the corresponding section in the Philosophy Compass paper, will not appear in the published version to save space. [11/10 preprint]
On the History of Computational Theories of Cognition
“The First Computational
Theory of Mind and Brain: A Close Look at McCulloch and Pitts’s ‘Logical
Calculus of Ideas Immanent in Nervous Activity’,” Synthese, 141.2 (2004), pp.
175-215. A detailed account of the
background, assumptions, evidential basis, and historical significance of the
first computational theory of mind.
“Alan Turing and the
Mathematical Objection,” Minds and
Machines, 13.1 (2003), special issue on hypercomputation,
pp. 23-48. A detailed analysis of the
background to and structure of Turing’s reply to the objection that due to
Gödel incompleteness, machines cannot think.
· “Allen Newell,” a brief biography of Allen Newell forthcoming in New Dictionary of Scientific Biography, Thomson Gale. [penultimate version]
· “Review of John von Neumann, The Computer and the Brain,” Minds and Machines, 13.2 (2003), pp. 327-332. Some comments on von Neumann’s classic book in the occasion of its reprinting. [final version]
On Computational Theories of Cognition vs. Cognitive Neuroscience
· “Computational Explanation and Mechanistic Explanation of Mind,” in Cartographies of the Mind: The Interface between Philosophy and Cognitive Science, M. de Caro, F. Ferretti, and M. Marraffa, eds., Dordrecht: Springer (2007), pp. 23-36. This is a brief summary of my views ca. 2005 on computational explanation and the relationship between computational theories of mind and cognitive neuroscience. [penultimate version]
· “Computational Explanation in Neuroscience,” introduces the topic in the title for a special issue of Synthese, 153.3 (2006), pp. 343-353. [final version]
· “Computation vs. Information Processing: How They Are Different and Why It Matters” (with Andrea Scarantino), in Studies in History and Philosophy of Science, 41.3 (2010), pp. 237-246. Argues that computation and information processing are distinct. Mostly this is a preliminary version of the following paper, which is also more complete and systematic. [final version]
· “Information Processing, Computation, and Cognition” (with Andrea Scarantino), in Journal of Biological Physics, 37.1 (2011), pp. 1-38. A detailed and systematic discussion of the relations between the three notions in the title, with emphasis on the lack of identity between information processing and computation. This paper contains my latest and most general formulation of the mechanistic account of computation. This paper supersedes the paper just above, except for some historical remarks that did not make it into the larger paper. [final version]
· “The Resilience of Computationalism,” in Philosophy of Science, 77.5 (2010), pp. 852-861. A review of arguments against computationalism (with emphasis on arguments from differences between neural processes and computations, which are not discussed in my review articles, why they don’t work as they stand, and a promissory note on how they can be improved upon by employing the mechanistic account of computation. [final version]
· “Neural Computation and the Computational Theory of Cognition” (with Sonya Bahar). Argues that neural activity is a sui generic type of computation; it is neither analog nor digital computation. [5/11 draft]
On Explanation in Psychology and Neuroscience
· “Integrating Psychology and Neuroscience: Functional Analyses as Mechanism Sketches” (with Carl Craver), forthcoming in Synthese. Argues that contrary to the received view, functional analyses are mechanism sketches (i.e., elliptical mechanistic explanations), and therefore functional analyses are neither distinct nor autonomous from mechanistic explanations, and therefore psychological explanations can be seamlessly integrated with neuroscientific explanations. [2/11 preprint]
On First-Person Data
· “Epistemic Divergence and the Publicity of Scientific Methods,” Studies in the History and Philosophy of Science, 34.3 (2003), pp. 597-612. Argues that scientific data ought to be public. This paper is not specifically on first-person data, but it provides a crucial premise for the methodology of first-person data developed in the other papers in this group. [final version]
· “Data from Introspective Reports: Upgrading from Commonsense to Science,” Journal of Consciousness Studies, 10.9-10 (2003), pp. 141-156. Argues that when properly understood and handled, first-person reports are a legitimate source of public scientific data. [penultimate version]
· “First-Person Data, Publicity, and Self-Measurement,” Philosophers’ Imprint, 9.9 (2009), pp. 1-16. Argues that first-person data are public (contrary to a popular view) and that legitimate first-person data result from a kind of self-measurement. [links to the open-access published version]
· “Scientific Methods Ought to Be Public, and Descriptive Experience Sampling Is One of Them.” Forthcoming in the Journal of Consciousness Studies in a symposium on Describing Inner Experience? Proponent Meets Skeptic, by R. T. Hurlburt and E. Schwitzgebel. [penultimate version]
· “How to Improve on Heterophenomenology: The Self-Measurement Methodology of First-Person Data.” Forthcoming in the Journal of Consciousness Studies, 17.3-4 (2010). A comparison between my self-measurement methodology of first-person data (developed in the papers listed immediately above) and Dennett’s Heterophenomenology. [penultimate version]
· Review of Describing Inner Experience? Proponent Meets Skeptic, by R. T. Hurlburt and E. Schwitzgebel, in Notre Dame Philosophical Reviews, 2008-04-25.
· “The Ontology of Creature Consciousness: A Challenge for Philosophy” (commentary on “Consciousness without a Cerebral Cortex: A Challenge for Neuroscience and Medicine,” by Björn Merker), Behavioral and Brain Sciences, 30.1 (2007), pp. 103-104. [penultimate version]
· “Access Denied to Zombies.” Argues that even if all the usual assumptions made in the zombie conceivability argument are granted (i.e., zombies are conceivable and conceivability entails possibility), the argument still begs the question because it remains to be shown that the relevant possible worlds are accessible to our world (in the sense of ‘accessible’ used in possible world semantics). [short version of rough draft, 1/08]
On Concepts, Language, and Intentionality
· “Functionalism, Computationalism, and Mental Contents,” Canadian Journal of Philosophy, 34.3 (2004), pp. 375-410. Argues that although for historical reasons, philosophers have convinced themselves that there is no computation without representation, in fact the notion of computation needs to be construed without presupposing the notion of representation. [final version]
· “Splitting Concepts” (co-authored with Sam Scott), Philosophy of Science, 73.4 (2006), pp. 390-409. Argues that the notion of concept should be split into different notions, each of which explains different phenomena. [final version]
· “Two Kinds of Concept: Implicit and Explicit,” forthcoming in Dialogue in a symposium on Edouard Machery’s book Doing without Concepts. Revises, articulates, and defends the view (originally proposed in the paper just above) that concepts split into two kinds, which I call implicit and explicit. [penultimate version]
· “Are Prototypes and Exemplars Used in Distinct Cognitive Processes?” (with James Virtel), commentary on Edouard Machery's book Doing without Concepts, forthcoming in Behavioral and Brain Sciences. [penultimate version]
· “Recovering What Is Said with Empty Names” (co-authored with Sam Scott), forthcoming in Canadian Journal of Philosophy. Presents novel evidence that sentences containing empty names are truth evaluable and thus that empty names have meaning, contrary to what Millianism predicts. [final version]