2018 | 66 | 3 | 35-75
Article title

Objections to Computationalism: A Survey

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  • Akagi, Mikio. 2017 “Rethinking the Problem of Cognition.” Synthese, April 9, 2017, 1–24. DOI:
  • Baars, Bernard J. 1988. A Cognitive Theory of Consciousness. Cambridge, New York: Cam­bridge University Press.
  • Bar-Hillel, Yehoshua. 1964. “A Demonstration of the Nonfeasibility of Fully Automatic High Quality Translation.” In Language and Information, 174–79. Reading, Mass.: Addison-Wesley.
  • Barrett, Louise. 2016. “Why Brains Are Not Computers, Why Behaviorism Is Not Satanism, and Why Dolphins Are Not Aquatic Apes.” The Behavior Analyst vol 39, issue 1: 9–23. DOI:
  • Barrett, Louise, Thomas V. Pollet, & Gert Stulp. 2014. “From Computers to Cultivation: Recon­ceptualizing Evolutionary Psychology.” Frontiers in Psychology 5 (January 2014): 867–867. DOI:
  • Bickhard, Mark H. 2009. “The Interactivist Model.” Synthese vol. 166, no. 3: 547–91. DOI: 10.1007/s11229-008-9375-x.
  • Bickhard, Mark H., & Loren Terveen. 1995. Foundational Issues in Artificial Intelligence and Cognitive Science: Impasse and Solution. Amsterdam, Lausane, New York, Oxford, Shan­non, Tokyo: North-Holland.
  • Block, Ned. “The Mind as the Software of the Brain.” In An Invitation to Cognitive Science, edited by Daniel N. Osherson, Lila Gleitman, & Stephen Kosslyn. Cambridge, Mass.: MIT Press, 1995.
  • Chalmers, David J. 2011. “A Computational Foundation for the Study of Cognition.” Journal of Cognitive Science, no. 12: 325–59.
  • Chalmers, David J. 1996. The Conscious Mind: In Search of a Fundamental Theory. New York: Oxford University Press.
  • Chemero, Anthony. 2003 “Information for Perception and Information Processing.” Minds and Machines vol. 13 577–88.
  • Chrisley, Ronald L. 1994. “Why Everything Doesn’t Realize Every Computation.” Minds and Machines vol. 4, no. 4: 403–20. DOI:
  • Cleeremans, Axel. 2005. “Computational Correlates of Consciousness.” Progress in Brain Research vol. 150: 81–98. DOI:
  • Collier, John D. 1999. “Causation Is the Transfer of Information.” In Howard Sankey (ed.). Causation, Natural Laws and Explanation, 279–331. Dordrecht: Kluwer.
  • Copeland, B. Jack. 1996. “What Is Computation?”. Synthese vol. 108, no. 3: 335–59.
  • Cummins, Robert, & Martin Roth. 2012. “Meaning and Content in Cognitive Science.” In Ri­chard Schantz (ed.). Prospects for Meaning, 365–82. Berlin & New York: de Gruyter.
  • Daugman, John. 1990. “Brain Metaphor and Brain Theory.” In Eric L. Schwartz (ed.). Com­putational Neuroscience, 9–18. Cambridge, Mass: MIT Press, 1990.
  • Deacon, Terrence W. 2012. Incomplete Nature: How Mind Emerged from Matter. New York: W.W. Norton & Co.
  • Dennett, Daniel C. 2017. From Bacteria to Bach and Back: The Evolution of Minds. London: Allen Lane.
  • Dennett, Daniel C. 2005. Sweet Dreams. Philosophical Obstacles to a Science of Con­scious­ness. Cambridge, Mass.: MIT Press.
  • Dresner, Eli. 2010. “Measurement-Theoretic Representation and Computation-Theoretic Reali­zation.” The Journal of Philosophy vol. 107, no. 6: 275–92.
  • Dretske, Fred I. 1986. “Misrepresentation.” In Radu Bogdan (ed). Belief: Form, Content, and Function, 17–37. Oxford: Clarendon Press.
  • Dreyfus, Hubert. 1972. What Computers Can’t Do: A Critique of Artificial Reason. New York: Harper & Row Publishers.
  • Dreyfus, Hubert. 1979. What Computers Still Can’t Do: A Critique of Artificial Reason. Cam­bridge Mass.: MIT Press.
  • Edelman, Gerald M. 1992. Bright Air, Brilliant Fire: On the Matter of the Mind. New York, N.Y.: BasicBooks.
  • Egan, Frances. 1995. “Computation and Content.” The Philosophical Review vol. 104, no. 2: 181–181. DOI:
  • Ekman, Paul. 2003. Emotions Revealed: Recognizing Faces and Feelings to Improve Com­mu­nication and Emotional Life. New York: Times Books.
  • Epstein, Robert. 2016. “The Empty Brain.” Aeon, May 18, 2016.
  • Fresco, Nir. 2010. “Explaining Computation Without Semantics: Keeping It Simple.” Minds and Machines vol. 20, no. 2: 165–81. DOI:
  • Fresco, Nir. 2014. Physical Computation and Cognitive Science. (Studies in Applied Philo­sophy, Epistemology and Rational Ethics). Berlin, Heidelberg: Springer-Verlag.
  • Fresco, Nir, & Marty J. Wolf. 2013. “The Instructional Information Processing Account of Digital Computation.” Synthese vol. 191, no. 7: 1469–92. DOI: s11229-013-0338-5.
  • Friston, Karl. 2012, “A Free Energy Principle for Biological Systems.” Entropy (Basel, Switzerland) vol. 14, no. 11: 2100–2121. DOI:
  • Froese, Tom, & John Robert Stewart. 2010. “Life After Ashby: Ultrastability and the Auto­poietic Foundations of Biological Autonomy.” Cybernetics & Human Knowing vol. 17, no. 4: 7–50.
  • Gallistel, C.R., & Adam Philip King. 2010. Memory and the Computational Brain. Chichester: Wiley-Blackwell.
  • Gibson, James J. 1986. The Ecological Approach to Visual Perception. Hove: Psychology Press.
  • Goldinger, Stephen D., Megan H. Papesh, Anthony S. Barnhart, Whitney A. Hansen, & Michael C. Hout. 2016. “The Poverty of Embodied Cognition.” Psychonomic Bulletin & Review vol. 23, no. 4: 959–78. DOI:
  • Hameroff, Stuart R. 2007. “The Brain Is Both Neurocomputer and Quantum Computer.” Cog­nitive Science vol. 31, no. 6: 1035–45.
  • Harnad, Stevan. 1990. “The Symbol Grounding Problem.” Physica D 42: 335–46.
  • Haugeland, John. 1985 Artificial Intelligence: The Very Idea. Cambridge, Mass.: MIT Press.
  • Krajewski, Stanisław. 2007. “On Gödel’s Theorem and Mechanism: Inconsistency or Unsound­ness Is Unavoidable in Any Attempt to ‘Out-Gödel’ the Mechanist.” Fundamenta Infor­maticae vol. 81, no. 1–3: 173–81.
  • Lakoff, George. 1987. Women, Fire, and Dangerous Things: What Categories Reveal about the Mind. Chicago: University of Chicago Press.
  • Leibniz, Gottfried Wilhelm. 1991. The Monadology. Translated by Robert Latta. Raleigh, NC; Boulder, Colo.: Alex Catalogue; NetLibrary.
  • Lucas, J.R. 1961. “Minds, Machines and Gödel.” Philosophy vol. 36, no. 137: 219–27.
  • Lupyan, Gary. 2013. “The Difficulties of Executing Simple Algorithms: Why Brains Make Mistakes Computers Don’t.” Cognition vol. 129, no. 3: 615–36. DOI: 10.1016/ j.cognition.2013.08.015.
  • Lurija, Aleksandr Romanovic̆. 2002. The Mind of a Mnemonist: A Little Book about a Vast Memory. Cambridge, Mass.: Harvard University Press.
  • MacKay, Donald MacCrimmon. 1969. Information, Mechanism and Meaning. Cambridge: MIT Press.
  • Marr, David. 1982. Vision. A Computational Investigation into the Human Representation and Processing of Visual Information. New York: W.H. Freeman and Company.
  • McDermott, Drew V. 2001. Mind and Mechanism. Cambridge, Mass.: MIT Press.
  • Miłkowski, Marcin. 2007. “Is Computationalism Trivial?” In Gordana Dodig Crnkovic & Susan Stuart (eds.), Computation, Information, Cog­nition — The Nexus and the Liminal, 236–46. Newcastle: Cambridge Scholars Press.­tiona­lism- trivial.pdf.
  • Miłkowski, Marcin. 2011. “Jak udawać dualistę, wprowadzając epicykle do funkcjonalizmu.” Przegląd Filo­zoficzny – Nowa Seria, no. 1 (77): 27–45.
  • Miłkowski, Marcin. 2012. “Limits of Computational Explanation of Cognition.” In Vincent C. Müller, Philosophy and Theory of Artificial Intelligence, 69–84. Berlin, Heidelberg: Springer.
  • Miłkowski, Marcin. 2013. Explaining the Computational Mind. Cambridge, Mass.: MIT Press.
  • Miłkowski, Marcin. 2014. “Computational Mechanisms and Models of Computation.” Philo­sophia Scientiae vol. 18, no. 18–3: 215–28. DOI: philosophiascientiae. 1019.
  • Miłkowski, Marcin. 2017. “Situatedness and Embodiment of Computational Systems.” Entropy 19, no. 4 (April 7, 2017): 162.
  • Millikan, Ruth Garrett. 1984. Language, Thought, and Other Biological Categories: New Foun­da­tions for Realism. Cambridge, Mass.: MIT Press.
  • Müller, Vincent C. (2014). “Pancomputationalism: Theory or metaphor?” In Ruth Hagen­gruber & Uwe V. Riss (eds.). The relevance of philosophy for information science (213–222). London, New York: Routledge.
  • Nagy, Naya, & Selim Akl. 2011. “Computations with Uncertain Time Constraints: Effects on Parallelism and Universality.” In Cristian Calude, Jarkko Kari, Ion Petre, & Grzegorz Rozenberg (eds.). Unconventional Computation, 6714:152–63. (Lecture Notes in Com­puter Science). Berlin, Heidelberg: Springer. DOI:
  • Newell, Allen. 1980. “Physical Symbol Systems.” Cognitive Science: A Multidisciplinary Jour­nal vol. 4, no. 2: 135–83. DOI:
  • Newell, Allen, & Herbert A. Simon. 1972. Human Problem Solving. Englewood Cliffs, NJ: Prentice-Hall.
  • Nowakowski, Przemysław Robert. 2017. “Bodily Processing: The Role of Morphological Com­putation.” Entropy vol. 19, no. 7: 295. DOI:
  • Penrose, Roger. 1989. The Emperor’s New Mind. London: Oxford University Press.
  • Piccinini, Gualtiero. 2008. “Computation without Representation.” Philosophical Studies vol. 137, no. 2: 205–41. DOI:
  • Piccinini, Gualtiero. 2010. “The Mind as Neural Software? Understanding Functionalism, Com­putationalism, and Computational Functionalism.” Philosophy and Phenomenological Re­search vol. 81, no. 2: 269–311. DOI:
  • Piccinini, Gualtiero. 2015. Physical Computation: A Mechanistic Account. Oxford: Oxford Uni­versity Press.
  • Piccinini, Gualtiero, & Sonya Bahar. 2013. “Neural Computation and the Computational Theo­ry of Cognition.” Cognitive Science vol. 37, no. 3: 453–88. DOI: cogs.12012.
  • Preston, John, & Mark Bishop. 2002. Views into the Chinese Room: New Essays on Searle and Artificial Intelligence. Oxford; New York: Clarendon Press.
  • Putnam, Hilary. 1960. “Minds and Machines.” In Sidney Hook (ed.). Dimensions of Mind. New York University Press.
  • Putnam, Hilary. 1991. Representation and Reality. Cambridge, Mass.: The MIT Press, 1991.
  • Pylyshyn, Zenon W. 1984. Computation and Cognition: Toward a Foundation for Cognitive Science. Cambridge, Mass.: MIT Press.
  • Rosenblatt, Frank. 1958 “The Perceptron: A Probabilistic Model for Information Storage and Orga­nization in the Brain.” Psychological Review 65, no. 6: 386–408. DOI: 10.1037/h0042519.
  • Rosenthal, David. 2005. Consciousness and Mind. Oxford, New York: Oxford University Press.
  • Scheutz, Matthias. 1996. “When Physical Systems Realize Functions….” Minds and Machines vol. 9, no. 2: 1–34. DOI:
  • Searle, John R. 1980. “Minds, Brains, and Programs.” Behavioral and Brain Sciences 3, no. 03 (February 1980): 1–19.
  • Searle, John R. 1990. “Is the Brain’s Mind a Computer Program?”. Scientific American, Janua­ry: 26–31.
  • Searle, John R. 1992. The Rediscovery of the Mind. Cambridge, Mass.: MIT Press, 1992.
  • Shagrir, Oron. 2010a. “Brains as Analog-Model Computers.” Studies In History and Philosophy of Science Part A vol. 41, no. 3: 271–79. DOI:
  • Shagrir, Oron. 2011. “Towards a Modeling View of Computing.” In G. Dodig-Crnkovic & M. Bur­gin (eds.). Information and Computation (381–391). Singapore: World Scientific Pub­lishing. DOI:10.1142/9789814295482_0014.
  • Shanahan, Murray. 1997. Solving the Frame Problem: A Mathematical Investigation of the Common Sense Law of Inertia. Cambridge, Mass.: MIT Press.
  • Siegelmann, Hava T., & Eduardo D. Sontag. 1994. “Analog Computation via Neural Net­works.” Theoretical Computer Science vol. 131, no. 2: 331–60. DOI: 10.1016/ 0304-3975(94)90178-3.
  • Thompson, Evan. 2007. Mind in Life: Biology, Phenomenology, and the Sciences of Mind. Cambridge, Mass.: Harvard University Press.
  • Tononi, Giulio. 2004. “An Information Integration Theory of Consciousness.” BMC Neuro­science vol. 5, no. 1.
  • Weizenbaum, Joseph. 1976. Computer Power and Human Reason: From Judgment to Calcu­lation. San Francisco: W.H. Freeman, 1976.
  • Wheeler, Michael. 2005. Reconstructing the Cognitive World. Cambridge, Mass.: MIT Press.
  • Zauner, Klaus-Peter, & Michael Conrad. 1996. “Parallel Computing with DNA: Toward the Anti-Universal Machine.” In Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg, & Hans-Paul Schwefel (eds.). Parallel Problem Solving from Nature – PPSN IV, 1141:696–705. (Lecture Notes in Computer Science). Berlin, Heidelberg: Springer. DOI:
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