- 1 FEYNMAN, R. P. Development of the space-time view of quantum electrodynamics. Science 153, No. 3737 (Aug. 1966), 699-708.Google Scholar
- 2 SHANNON, C. E. A universal Turing machine with two internal states. In Automata Studies, Shannon, C. E., and McCarthy, J. (Eds.), Princeton U. Press, Princeton, N. J., 1956, pp. 157-165.Google Scholar
- 3 COOK, S. A. On the minimum computation time for multiplication. Doctoral diss., Harvard U., Cambridge, Mass., 1966.Google Scholar
- 4 KNUTH, D. The Art of Computer Programming, Vol. II. Addison-Wesley, Reading, Mass., 1969. Google Scholar
- 5 MINSKY, M., AND PAPERT, S. Perceptrons: An Introduction to Computational Geometry. MIT Press, Cambridge, Mass., 1969. Google Scholar
- 6 GUZM~N, A., AND MCINTOSH, H.V. CONVERT. Co.nm. ACM 9, 8 (Aug. 1966), 604-615. Google Scholar
- 7 HEWITT, C. PLANNER: A language for proving theorems in robots. In: Proc. of the International Joint Conference on Artificial Intelligence, May 7-9, 1969, Washington, D. C., Walker, D. E., and Norton, L. M. (Eds.), pp. 295-301.Google Scholar
- 8 LEVIN, M., ET AL. The LISP 1.5 Programmer's Manual. MIT Press, Cambridge, Mass., 1965. Google Scholar
- 9 WEISSMAN, CLARK. The LISP 1.5 Primer. Dickenson Pub. Co., Belmont, Calif., 1967.Google Scholar
- 10 MARTIN, W. A. Symbolic mathematical laboratory. Doctoral diss., MIT, Cambridge, Mass., Jan. 1967.Google Scholar
- 11 MOSES, J. Symbolic integration. Doctoral diss., MIT, Cambridge, Mass., Dec. 1967.Google Scholar
- 12 SLAGLE, J.R. A heuristic program that solves symbolic integration problems in Freshman calculus. In Computers and Thought, Feigenbaum, E. A., and Feldman, J. (Eds.), McGraw-Hill, New York, 1963. Google Scholar
- 13 TURING, A.M. Computing machinery and intelligence. Mind 59 (Oct. 1950), 433---460; reprinted in Computers and Thought, Feigenbaum, E. A., and Feldman, J. (Eds.), McGraw- Hill, New York, 1963. Google Scholar
- 14 MINSKY, M. Matter, mind and models. Proc. IFIP Congress 65, Vol. 1, pp. 45-49 (Spartan Books, Washington, D. C.). Reprinted in Semantic D~formation Processing, Minsky, M. (Ed.), MIT Press, Cambridge, Mass., 1968, pp. 425-432.Google Scholar
- 15 FEIGENBAUM, E. A., AND FELDMAN, J. Computers and Thought. McGraw-Hill, New York, 1963. Google Scholar
- 16 MINSKY, M. (Ed.). Semantic Information Processing. MIT Press, Cambridge, Mass., 1968. Google Scholar
- 17 GALTON, F. Inquiries into Human Faculty and Development. Macmillan, New York, 1883.Google Scholar
- 18 ATTNEAVE, FRED. Triangles as ambiguous figures. Amer. J. Psychol. 81, 3 (Sept. 1968), 447-453.Google Scholar
- 19 PAPERT, S. Principes analogues '~ la recurrence. In Probl~mes de la Construction du Nombre, Presses Universitaires de France, Paris, 1960.Google Scholar
- 20 FEYNMAN, R.P. New textbooks for the "new" mathematics. Engineering and Science 28, 6 (March 1965), 9-15 (California Inst. of Technology, Pasadena).Google Scholar
- 21 LEHRER, T. New math. In That Was the Year That Was, Reprise 6179, Warner Bros. Records.Google Scholar
Index Terms
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Form and Content in Computer Science (1970 ACM turing lecture)
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