A. Harry Klopf
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Abstract
This paper was motivated, in part, by Price's recent (1975) tutorial comparing human and computer visual systems. While I found his comparisons interesting, a fundamental question continued to trouble me, as it has now for a number of years. Namely, does artificial intelligence (AI) really bear any fundamentally important relationship to natural intelligence? Or are the two sufficiently different so that a comparison of human and computer visual systems, for example, might be of the same significance as a comparison of locomotion in four-legged animals and four-wheeled vehicles?
- Andreae, J. H. (1963) Stella, a scheme for a learning machine, Proc. IFAC.Google Scholar
Cross Ref
- Bernard, Claude (1859) Lecons sur les proprietes physiologigues et les alterations pathologigues des liquides de l'organisme, Bailliere 1, Paris, France.Google Scholar
- Doran, J. E. (1968) Experiments with a pleasure-seeking automation, Machine Intelligence III.Google Scholar
- Dreyfus, H. (1965) "Alchemy and Artificial Intelligence," RAND Corporation Paper P3244 (AD 625 719), Dec. 1965.Google Scholar
- Dreyfus, H. L. (1972) What Computers Can't Do, Harper and Row, New York.Google Scholar
- Ernst, H. A. (1970) "Computer-Controlled Robots", IBM Research Report RC 2781 (No. 13043).Google Scholar
- Farley, B. G., and Clark, W. A. (1954) Simulation of a self organizing system by a digital computer, IRE Trans. on Information Theory, Vol. PGIT-4, pps. 76--84.Google Scholar
- Freud, Sigmund (1895) Unpublished, untitled paper subsequently published in Freud, Sigmund (1964-) Standard Edition of the Complete Psychological Works of Freud, (ed. by James Strachey), Macmillan, New York, 1:281--387.Google Scholar
- Griffith, V. V. (1962) A Mathematical Model of the Plastic Neuron, Goodyear Aircraft Corporation, Akron, Ohio, Report No. GER-10589.Google Scholar
- Griffith, V. V. (1963) "A Model of the Plastic Neuron," IEEE Trans. on Military Electronics, MIL-7:243--253.Google ScholarCross Ref
- Klopf, A. Harry (1972) Brain Function and Adaptive Systems - A Heterostatic Theory, Air Force Cambridge Research Laboratories ResearchGoogle Scholar
- Klopf, A. Harry (1974) Brain function and adaptive systems - a heterostatic theory, Proceedings of the 1974 International Conference on Systems, Man and Cybernetics, IEEE Systems, Man and Cybernetics Society, October 2-4, 1974, Dallas, Texas.Google Scholar
- Lighthill, J. (1973) "Artificial Intelligence: A General Survey," Artificial Intelligence: A Paper Symposium, Science Research Council Pamphlet, Science Research Council, State House, High Holburn, London, April 1973.Google Scholar
- McCulloch, W. S., and Pitts, W. (1943) A logical calculus of the ideas immanent in nervous activity, Bull. Math. Biophys. 5:115--137 {reprinted in McCulloch, W. S. (1965) Embodiments of Mind, M.I.T. Press, Cambridge, Mass., pp. 19--19}.Google Scholar
- Minsky, M: (1954) "Neural Nets and the Brain-model Problem," doctoral dissertation, Princeton University, Princeton, New Jersey (available from University Microfilms, Ann Arbor, Michigan).Google Scholar
- Minsky, M., and Papert, S. (1969) Perceptrons: An Introduction to Computational Geometry, M.I.T. Press, Cambridge, Mass. Google ScholarDigital Library
- Minsky, Marvin (1975) "A Framework for Representing Knowledge," The Psychology of Computer Vision, McGraw-Hill, New York.Google Scholar
- Nilsson, Nils J. (1975) "Artificial Intelligence," Artificial Intelligence Center Technical Note 89, Stanford Research Institute, Menlo Park, California; also presented at IFIP Congress 74, Stockholm, Sweden, August 5-10, 1974.Google Scholar
- Price, Keith (1975) A comparison of human and computer vision systems, ACM SIGART Newsletter, No. 50, Feb. 1975, pp. 5--10. Google ScholarDigital Library
- Rashevsky, N. (1938) Mathematical Biophysics, University of Chicago Press, Chicago, Illinois.Google Scholar
- Rosenblatt, F. (1957) "The Perception: A Perceiving and Recognizing Automaton, Project PARA," Cornell Aeronautical Laboratory Report 85-460-1.Google Scholar
- Rosenblatt, F. (1960) "On the Convergence of Reinforcement Procedures in Simple Perceptrons," Cornell Aeronautical Laboratory Report VG-1196-G-4, Buffalo, New York.Google Scholar
- Rosenblatt, F. (1962) Principles of Neurodynamics, Spartan Books, New York.Google Scholar
- Roszak, T. (1972) Where the Wasteland Ends: Politics and Transcendence in Post-Industrial Society, Doubleday, 1972.Google Scholar
- Skinner, B. F. (1938) The Behavior of Organisms: An Experimental Analysis, Appleton-Century, New York.Google Scholar
- Weizenbaum, J. (1972) "On the Impact of the Computer on Society," Science, Vol. 176, No. 609.Google Scholar
- Wilkins, Michael G. (1970) "Neural Modelling: Methodology, Techniques and a Multilinear Model for Information Processing," Biological Computer Laboratory Technical Report No. 19, University of Illinois, Urbana, Illinois.Google Scholar
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