Abstract
Eliminative materialism is a popular view of the mind which holds that propositional attitudes, the typical units of our traditional understanding, are unsupported by modern connectionist psychology and neuroscience, and consequently that propositional attitudes are a poor scientific postulate, and do not exist. Since our traditional folk psychology employs propositional attitudes, the usual argument runs, it too represents a poor theory, and may in the future be replaced by a more successful neurologically grounded theory, resulting in a drastic improvement in our interpersonal relationships. I contend that these eliminativist arguments typically run together two distinct capacities: the folk psychological mechanisms which we use to understand one another, and scientific and philosophical guesses about the structure of those understandings. Both capacities are ontologically committed and therefore empirical. However, the commitments whose prospects look so dismal to the eliminativist, in particular the causal and logical image of propositional attitudes, belong to the guesses, and not necessarily to the underlying mechanisms. It is the commitments of traditional philosophical perspectives about the operation of our folk psychology which are contradicted by␣new evidence and modeling methods in connectionist psychology. Our actual folk psychology was not clearly committed to causal, sentential propositional attitudes, and thus is not directly threatened by connectionist psychology.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Christiansen M.H., Chater N., Seidenberg M. S. (1999) Connectionist models of human language processing: Progress and Prospects. Special issue of title = Cognitive Science 23(4):415–634
Churchland P.M. (1981) Eliminative Materialism and the Propositional Attitudes. Journal of Philosophy 78, 67–90
Churchland P.M. (1989) Folk Psychology and the Explanation of Human Behavior. Philosophical Perspectives 3,225–241
Churchland P.M. (1999) Folk Psychology. In: Churchland P.M., Churchland P.S. (eds), On the Contrary: Critical Essays 1987–1997. MIT Press, Cambridge, MA, pp. 3–15
Clark A. (1996) Dealing in futures: Folk psychology and the role of representations in cognitive science. In: McCauley R. (eds), The Churchlands and their Critics. Basil Blackwell, Oxford, pp. 86–103
Cleeremans A., Servan-Schreiber D., McClelland J.L. (1989) Finite State Automata and Simple Recurrent Networks. Neural Computation 1, 372–381
Davidson D. (1973) The Material Mind. In: Suppes P., Henkin L., Joja A., Moisil G.C. (eds), Logic, Methodology, and Philosophy of Science IV. North-Holland, Amsterdam
Dennett D.C. (1991) Real Patterns. Journal of Philosophy 88, 27–51
Elman J.L. (1990) Finding Structure in Time. Cognitive Science 14, 179–211
Elman J.L. (1993) Learning and development in neural networks: The importance of starting small. Cognition 48(1):71–99
Fodor J. (1987) Psychosemantics: The Problem of Meaning in the Philosophy of Mind. MIT Press, Cambridge MA
Fodor J. (2000) The Mind Doesn’t Work That Way. MIT Press, Cambridge, MA
Fodor J., Pylyshyn Z. (1988) Connectionism and cognitive architecture: A critical analysis. Cognition 28,3–71
Giles C.L., Omlin C. (2001) Representation of Discrete States. In: Kolen J.F., Kremer S.C. (eds), A Field Guide to Dynamical Recurrent Networks. IEEE Press, New York NY, pp. 129–142
Heider F., Simmel M. (1944) An experimental study of apparent behavior. American Journal of Psychology 57,243–259
Horgan T.J., Woodward J. (1985) Folk Psychology is Here to Stay. Philosophical Review 94,197–226
Kremer S. (1995) On the computational power of Elman-style recurrent networks. IEEE Transactions on Neural Networks 6(4): 1000–1004
Lenat D.B., Feigenbaum E.A. (1991) On the Thresholds of Knowledge. Artificial Intelligence 47(1–3): 185–250
Minsky M., Papert S.A. (1969), Perceptrons: An Introduction to Computational Geometry. MIT Press, Cambridge, MA
Plunkett K., Marchman V. (1991) U-shaped learning and frequency effects in a multi-layered perceptron:implications for child language acquisition. Cognition 38(1): 43–102
Schank R. (1981) Inside Computer Understanding. Lawrence Erlbaum, Hillsdale, NJ
Scholl B., Tremoulet P. (2000) Perceptual causality and animacy. Trends in Cognitive Science 4, 299–309
Sellars W. (1956) Empiricism and the Philosophy of Mind. In: Feigl H., Scriven M. (eds), The Foundations of Science and the Concepts of Psychology and Psychoanalysis: Minnesota Studies in the Philosophy of Science. University of Minnesota Press, Minneapolis, pp. 235–329
Stich S., Nichols S. (1992) Folk Psychology: Simulation or Tacit Theory. Mind and Language 7(1): 35–71
Stich S., Nichols S. (1995) Second Thoughts on Simulation. In: Davies M., Stone A. (eds), Mental Simulation: Evaluations and Applications. Oxford University Press, New York, pp. 87–108
Stich S., Ravenscroft I. (1996) What is folk psychology?. In: Stich S. (eds), Deconstructing the Mind. Oxford University Press, Oxford, pp. 115–136
Wiles J., Blair A.D., Boden M. (2001) Representation Beyond Finite States: Alternatives to Pushdown Automata. In: Kolen J., Kremer S. (eds), A Field Guide to Dynamical Recurrent Networks. IEEE Press, New York, NY, pp. 129–142
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Landy, D. Inside Doubt: On the Non-Identity of the Theory of Mind and Propositional Attitude Psychology. Mind Mach 15, 399–414 (2005). https://doi.org/10.1007/s11023-005-9004-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11023-005-9004-0