Abstract
In this paper I put forward a reconstruction of the evolution of certain explanatory hypotheses on the neural basis of association and learning that are the premises of connectionism in the cybernetic age and of present-day connectionism. The main point of my reconstruction is based on two little-known case studies. The first is the project, published in 1913, of a hydraulic machine through which its author believed it was possible to simulate certain “essential elements” of the plasticity of nervous connections. The author, S. Bent Russell, was an engineer deeply influenced by the neurological hypotheses on nervous conduction of Herbert Spencer, Max Meyer and Edward L. Thorndike. The second is the project, published in 1929, of an electromechanical machine in which the author, the psychologist J.M. Stephens, believed it was possible to embody Thorndike's law of effect. Thus both Bent Russell and Stephens referred to the principles of learning that Thorndike defined as “connectionist”. Their attempt was that of simulating by machines at least certain simple aspects of inhibition, association and habit formation that are typical of living organisms. I propose to situate their projects within the frame of thediscovery of a simulative (modelling) methodology which I believe might be considered an important topic of the “Culture of the Artificial”. Certain more recent steps toward such a methodology made by both connectionism of the 1950s and present-day connectionism are briefly pointed out in the paper.
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References
Amit, D. (1995). The Hebbian Paradigm Reintegrated: Local Reverberations as Internal Representations,Behavioral and Brain Sciences. 18. 617–657.
Anderson, J.A. and Rosenfeld, E. (eds) (1988). Neurocomputing. MIT Press, Cambridge, MA.
Boakes, R. (1984). From Darwin to Behaviorism. Cambridge University Press, Cambridge, UK.
Boring, E.G. (1946). Mind and Mechanism,American Journal of Psychology. 59. 173–192.
Churchland, P.S. and Sejnowski, T.J. (1992). The Computational Brain. MIT Press, Cambridge, MA.
Cordeschi, R. (1991). The Discovery of the Artificial: Some Protocybernetic Developments 1930–1940,AI & Society. 5. 218–238.
Cordeschi, R. (1998). La scoperta dell'artificiale. Psicologia, neurologia e macchine intorno alla cibernetica. Dunod-France, Milan. An enlarged edition is in preparation, Kluwer Academic Publishers, Dordrecht.
Crevier, D. (1993). AI. The Tumultuous History of the Search for Artificial Intelligence. Basic Books, New York.
Esper, E.A. (1966). Max Meyer: The Making of a Scientific Isolate,Journal for the History of the Behavioral Sciences. 2, 107–131.
Esper, E.A. (1967). Max Meyer in America,Journal for the History of the Behavioral Sciences. 3. 107–131.
Gelperin, A., Hopfield, J.J. and Tank D.W. (1985). The Logic ofLimax Learning. In A. Selverston (ed.)Model Neural Networks and Behavior. Plenum, New York, 237–261.
Hawkins, J.K. (1961). Self-Organizing systems: A Review and Commentary,Proceedings of the IRE 49. 31–48.
Hawkins, R.D., Abrams, T.W., Carew, T.J. and Kandel, E.R. (1983). A Cellular Mechanism of Classical Conditioning inAplysia: Activity-Dependent Amplification of Pre-synaptic Facilitation,Science. 219. 400–405.
Hebb, D.O. (1949). The Organization of Behavior. Wiley and Chapman, New York and London.
Herrick, C.J. (1929). The Thinking Machine. University of Chicago Press, Chicago.
Hilgard, E.R. (1956). Theories of Learning. Appleton, New York.
Hull, C.L. (1943). The Principles of Behavior. Appleton-Century, New York.
James, W. (1890). The Principles of Psychology. Holt, New York. (Reprinted 1950, Dover, New York.)
Jonçich, J. (1968). The Sane Positivist: A Biography of Edward L. Thorndike. Wesleyan University Press, Middletown, CT.
Krueger, R.G. and Hull, C.L. (1931). An Electro-chemical Parallel to the Conditioned Reflex.Journal of General Psychology. 5, 262–269.
McDougall, W. (1905). Primer of Physiological Psychology. Dent, London.
McDougall, W. (1911). Body and Mind. Methuen, London.
Meyer, M. (1908). The nervous Correlate of Pleasantness and Unpleasantness,Psychological Review. 15. 292–322.
Meyer, M. (1911). The Fundamental Laws of Human Behavior. Badger, Boston, MA.
Meyer, M. (1912). The Present Status of the Problem of the Relation Between Mind and Body,Journal of Philosophy. 9. 365–371.
Meyer, M. (1913). The Comparative Value of Various Conceptions of Nervous Function Based on Mechanical Analogies,American Journal of Psychology. 24. 555–563.
Meyer, M. (1934). Frequency, Duration and Recency vs. Double Stimulation,Psychological Review. 41. 177–183.
Miller, G.A., Galanter, E. and Pribram, K.H. (1960). Plans and the Structure of Behavior. Holt, Rinehart & Winston, New York.
Minsky, M.L. and Papert, S. (1969). Perceptrons. MIT Press, Cambridge, MA. (Reprinted 1988 with authors' new Prologue and Epilogue.)
Negrotti, M. (1999). The Theory of the Artificial. Intellect Books, Exeter, UK.
O'Donnell, J.M. (1985). The Origins of Behavorism. New York University Press, New York.
Postman, L. (1947). The History and Present Status of the Law of Effect,Psychological Bulletin. 44. 489–563.
Rosenblatt, F. (1958). The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain,Psychological Review. 65. 386–408. (Reprinted in Anderson and Rosenfeld, 1988.)
Rumelhart, D.E., McClelland, J.L. and the PDP Research Group (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition, 2 vols. MIT Press, Cambridge, MA.
Russell, S.B. (1913). A Practical Device to Simulate the Working of Nervous Discharges,Journal of Animal Behavior. 3, 15–35.
Russell, S.B. (1916). The Effect of High Resistance in Common Nerve Paths,Psychological Review. 23. 231–236.
Russell, S.B. (1917a). Compound Substitution in Behavior,Psychological Review. 24, 62–73.
Russell, S.B. (1917b). Advance Adaptation in Behavior,Psychological Review. 24. 413–425.
Savage, T. and Cowie, R. (1992). Are Artificial Neural Nets as Smart as a Rat?,Network. 3. 47–59.
Smith, L.D. (1986). Behaviorism and Logical Positivism: A Reassessment of the Alliance. Stanford University Press, Stanford, CA.
Spencer, H. (1890). The Principles of Psychology (3rd edn). Longman, London.
Stephens, J.M. (1929). A Mechanical Explanation of the Law of Effect,American Journal of Psychology.41. 422–431.
Stephens, J.M. (1931). Some Weaknesses in the Explanation of Habit Fixation as Conditioning,Psychological Review. 38, 137–152.
Stephens, J.M. (1967). The Process of Schooling: A Psychological Examination. Holt, Rinehart & Winston, New York.
Tesauro, G. (1986). Simple Neural Models of Classical Conditioning,Biological Cybernetics. 55. 187–200.
Tesauro, G. (1990). Neural Models of Classical Conditioning: A Theoretical Viewpoint. In Hanson, S.J. and Olson, C.R. (eds)Connectionist Modeling and Brain Function. MIT Press, Cambridge, MA, 74–104.
Thorndike, E.L. (1911). Animal Intelligence. Macmillan, New York.
Troland, L.T. (1928). The Fundamentals of Human Motivation. Van Nostrand, New York.
Valentine, E.R. (1989). Neural Nets: From Hartley to Hebb and Hinton,Journal of Mathematical Psychology. 33. 348–357.
Walker, S.F. (1990). A Brief History of Connectionism and its Psychological Implications,AI & Society. 4. 17–38.
Watson, J.B. (1914). Behavior. Holt, New York.
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Cordeschi, R. Early-connectionism machines. AI & Soc 14, 314–330 (2000). https://doi.org/10.1007/BF01205514
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DOI: https://doi.org/10.1007/BF01205514