THE ROLE OF NEURAL NETWORKS IN COGNITIVE SCIENCE:
EVOLUTION OR REVOLUTION?
Book Review of Miikkulainen on Language-Network

Abstract

Can the neural network approach to understanding cognition produce a revolution within cognitive science and re-shape our basic conceptualization of cognition and mind? Miikkulainen's (1993) efforts in developing a neural network system using results of symbolic research clearly demonstrate the extra explanatory power of the neural network approach. However, this line of neural network research limits their possible role in cognitive science.

Keywords

References

• Chomsky, N. (1965). Aspects of the Theory of Syntax. MIT Press, Cambridge, MA.
• Chomsky, N. (1980). Rules and Representations. Columbia University Press, New York.
• Chomsky, N. (1986). Knowledge of Language: Its Nature, Origin, and Use. Praeger Press, New York.
• Dror, I.E. & Dascal, M. (in press). Can Wittgenstein help free the mind from rules? The philosophical foundations of connectionism. In D. Johnson & C. Erneling (Eds.), Reassessing the Cognitive Revolution. Oxford University Press.
• Miikkulainen, R. (1993) Subsymbolic Natural Language Processing: An Integrated Model of Scripts, Lexicon and Memory. Cambridge, MA: MIT Press.
• Miikkulainen, R. (1994) Precis of: Subsymbolic Natural Language Processing: An Integrated Model of Scripts, Lexicon and Memory. PSYCOLOQUY 5(46) language-network.1.miikkulainen.
• Moyne, J. (1985). Understanding Language: Man or Machine. Plenum Press, New York.
• Winograd, T. (1972). Understanding Natural Language. Academic Press, Orlando, FL.
• Winograd, T. (1983). Language as a Cognitive Process. MIT Press, Cambridge, MA.
• Winograd, T. & Flores, F. (1986). Understanding Computers and Cognition: A New Foundation for Design. Ablex Publishing, Norwood, NJ.
• Wittgenstein, L. (1953). Philosophical Investigations. Basic Blackwell, Oxford.