Synthese

, Volume 170, Issue 2, pp 235–250 | Cite as

LOT, CTM, and the Elephant in the Room

Article

Abstract

According to the language of thought (LOT) approach and the related computational theory of mind (CTM), thinking is the processing of symbols in an inner mental language that is distinct from any public language. Herein, I explore a deep problem at the heart of the LOT/CTM program—it has yet to provide a plausible conception of a mental symbol.

Keywords

Language of thought Computational theory of mind Symbol Connectionism Fodor Symbol processing 

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References

  1. Anderson J. (2007) How can the human mind occur in the physical universe? Oxford University Press, OxfordCrossRefGoogle Scholar
  2. Aryo, D. (1996). Sticking up for oedipus: Fodor on intentional generalizations and broad content. Mind and Language, 11(3).Google Scholar
  3. Aydede, M. (1999). “On the type/token relation of mental representations”, Facta Philosophica: International Journal for Contemporary Philosophy, 7(12).Google Scholar
  4. Aydede, M., & Robbins, P. (2001). Are Frege cases exceptions to intentional generalizations? The Canadian Journal of Philosophy, 31(1).Google Scholar
  5. Braun D. (2001) Russellianism and prediction. Philosophical Studies 105: 59–105CrossRefGoogle Scholar
  6. Crane T. (1990) The language of thought: No syntax without semantics. Mind & Language 5(3): 187–212CrossRefGoogle Scholar
  7. Elman, J. (1998). Generalization, simple recurrent networks, and the emergence of structure. In M. A. Gernsbacher & S. Derry (Eds.), Proceedings of the 20th annual conference of the cognitive science society. Mahway, NJ: Lawrence Erlbaum Associates.Google Scholar
  8. Fodor J.A. (1975) The language of thought. Thomas Crowell, NYGoogle Scholar
  9. Fodor, J. A. (Ed.). (1989). Substitution arguments and the individuation of belief. In A theory of content and other essays. Cambridge, MA: MIT Press, 1990. (Originally appeared in Boolos, G. (Ed.), Method, reason and language. Cambridge, UK: The Cambridge University Press, 1989.)Google Scholar
  10. Fodor J. A. (1994) The elm and the expert: Mentalese and its semantics. MIT Press, BostonGoogle Scholar
  11. Fodor J. A. (1998) Concepts: Where cognitive science went wrong. Oxford University Press, OxfordGoogle Scholar
  12. Fodor J A. (2000) The mind doesn’t work that way. MIT Press, Cambridge MAGoogle Scholar
  13. Fodor J. A., LePore E. (1992) Holism: A shoppers’ guide. Blackwell, OxfordGoogle Scholar
  14. Fodor J. A., McLaughlin B. (1990) Connectionism and the problem of systematicity: Why Smolensky’s solution doesn’t work. Cognition 35: 183–204CrossRefGoogle Scholar
  15. Fodor, J. A., & Pylyshyn, Z. W. (1988). Connectionism and cognitive architecture: A critical analysis (also in Connectionism: Debates on psychological explanation (Vol. 2). Eds. by C. Macdonald & G. Macdonald. Oxford: Basil Blackwell, 1995).Google Scholar
  16. Gazzanig, M. S., Ivry, R. B., & Mangun, G. R. (2002). Cognitive neuroscience, 2nd edn. New York: W. W. Norton & Company.Google Scholar
  17. Harnad S. (1990) The symbol grounding problem. Physica D 42: 335–346CrossRefGoogle Scholar
  18. Hawkins J. (2005) On intelligence. MacMillan, New YorkGoogle Scholar
  19. Lewis D. (1983) New work for a theory of universals. Australasian Journal of Philosophy 61: 343–377CrossRefGoogle Scholar
  20. Loewer, B., & Rey, G. (Eds.). (1993). Meaning in mind: Fodor and his critics. Oxford, UK; Cambridge: Blackwell.Google Scholar
  21. Macdonald, C., & Macdonald, G. (1995). Connectionism: Debates on psychological explanation (Vol. 2). Oxford: Blackwell.Google Scholar
  22. Marcus G. (2001) The algebraic mind. MIT Press, BostonGoogle Scholar
  23. Millikan R. G. (1993) On mentalese orthography. In: Dahlbom B. (eds) Dennett and his critics: Demystifying mind. Blackwell, Cambridge, MA, pp 97–123Google Scholar
  24. O’Reilly, R., & Munakata, Y. (2000). Computational explorations in cognitive neuroscience. MIT Press.Google Scholar
  25. Pessin A. (1995) Mentalese syntax: Between a rock and two hard places. Philosophical Studies 78: 33–53CrossRefGoogle Scholar
  26. Pinker S., Prince A. (1988) On language and connectionism: Analysis of a parallel distributed processing model of language acquisition. Cognition 23: 73–193CrossRefGoogle Scholar
  27. Prinz J. (2002) Furnishing the mind: Concepts and their perceptual basis. MIT Press, Cambridge, MAGoogle Scholar
  28. Richard M. (1990) Propositional attitudes: An essay on thoughts and how we ascribe them. Cambridge University Press, CambridgeGoogle Scholar
  29. Schneider S. (2005) Direct reference, psychological explanation, and Frege cases. Mind and Language 20(4): 223–447CrossRefGoogle Scholar
  30. Schneider S. (2009a) The language of thought. In: Calvo P., Symons J. (eds) Routledge companion to philosophy of psychology. Routledge, NYGoogle Scholar
  31. Schneider, S. (2009b). The nature of primitive symbols in the language of thought: A theory. Mind and Language, 24(5).Google Scholar
  32. Searle J. (1980) Minds, brains and programs. Behavioral and Brain Sciences 3(3): 417–457CrossRefGoogle Scholar
  33. Smolensky, P. (1988). On the proper treatment of connectionism. Behavioral and Brain Sciences, 11.Google Scholar
  34. Smolensky, P. (1995). Reply: Constituent structure and explanation in an integrated connectionist/symbolic cognitive architecture. In C. Macdonald & G. Macdonald (Eds.), Connectionism: Debates on psychological explanation (Vol. 2). Basil Blackwell, Oxford.Google Scholar
  35. Stich S. (1983) From Folk psychology to cognitive science: The case against belief. MIT Press, BostonGoogle Scholar
  36. van Gelder T. (1990) Why distributed representation is inherently non-symbolic. In: Dorffner G. (eds) Konnektionismus in Artificial Intelligence und Kognitionsforschung. Springer-Verlag, Berlin, pp 58–66Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Department of Philosophy, Center for Cognitive Neuroscience and Institute for Research in Cognitive ScienceUniversity of PennsylvaniaPhiladelphiaUSA

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