References
- Buchanan, B.G., Shortliffe, E.H., (Eds.) (1984), Rule-Based Expert Systems: The MYCIN Experiuments and the Stanford Heuristic Programming Project. Addison-Wesley: Reading, MA.
- Duda, R.O., Hart, P.E., and Nilsson, N.J. (1976) Subjective Bayesian Methods for Rule-Based Inference Systems
- Hebb, D. 0. (1949) The Organization of Behavior, New York: John Wiley & Sons.
- Hubel, D.H., Wiesel, T.N., (1968), “Receptive fields and functional architecture of the monkey striate cortex”, Journal of Physiology, London 195, pp. 215-243.
- Lippmann, R. (1987) An Introduction to Computing with Neural Nets, IEEE ASSP Magazine, pages 4-22
- McCulloch, W. S. and Pitts, W. (1943) A logical calculus of the ideas immanent in nervous activity, Bulletin of Mathematical Biophysics, 5, 115-33. Reprinted in Anderson and Rosenfeld (1988), pp. 18-27.
- Minsky, M. A. and Papert, S. (1969) Perceptrons, Cambridge, MA: MIT Press.
- Sejnowski, T. J. and Rosenberg, C. R. (1986) NETtalk: a parallel network that learns to read aloud, The Johns Hopkins University Electrical Engineering and Computer Science Technical Report JHU/EECS-86/01.
- Sholl, D.A., (1956), The Organisation of the Cerebral Cortex, Wiley: New York.
- Shafer, G., (1987) “Probability Judgment in Artificial Intelligence and Expert Systems”, Statistical Science
2(1), pp. 3-44.
- Williams, R.W., Herrup, K., (2001) “The control of neuron number”, The Annual Review of Neuroscience 11, pp. 423-453.
- Zadeh, L.A., (1984), “Review of a mathematical theory of evidence,” AI Magazine, 5(3), pp. 81-83.
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