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Proving Theorems by Pattern Recognition
Communications of the ACM, Vol 4, No. 3, pp. 229-243, 1960
Man-Computer Symbiosis
Man-computer symbiosis is an expected development in cooperative interaction between men and electronic computers. It will involve very close coupling between the human and the electronic members of the partnership. The main aims are 1) to let computers facilitate formulative thinking as they now facilitate the solution of formulated problems, and 2) to enable men and computers to cooperate in making decisions and controlling complex situations without inflexible dependence on predetermined programs. In the anticipated symbiotic partnership, men will set the goals, formulate the hypotheses, determine the criteria, and perform the evaluations. Computing machines will do the routinizable work that must be done to prepare the way for insights and decisions in technical and scientific thinking. Preliminary analyses indicate that the symbiotic partnership will perform intellectual operations much more effectively than man alone can perform them. Prerequisites for the achievement of the effective, cooperative association include developments in computer time sharing, in memory components, in memory organization, in programming languages, and in input and output equipment. IRE Transactions on Human Factors in Electronics, HFE-1, pp 4-11. See also: ACM Digital Library citation: http://dl.acm.org/citation.cfm?id=612433.
Experimental study of "hypothesis formation" by computer
Research report RC 294, IBM, Yorktown Heights, New York
Statistical models for recognition and recall of stimulus patterns by human observers
In Yovitts, M. and Cameron, S. (eds.) Self-organizing Systems. New York: Pergamon
Pattern recognition with an adaptive network
IRE International Convention Record, pt 2, pp. 66-70
On the convergence of reinforcement procedures in simple perceptrons
Report VG-1196-G-4, Cornell Aeronautical Laboratory.
Programs with common sense
This is the first clear call for the separation of knowledge and inference procedure in AI. In this paper McCarthy advocates using predicate logic as a declarative representation of knowledge and first-order logic as the inference procedure.Additional notes on this landmark paper at http://www-formal.stanford.edu/jmc/mcc59/mcc59.html.Bar-Hilel's comments in the discussion section from the conference are also interesting:"PROF. Y. BAR-HILLEL: Dr. McCarthy's paper belongs in the Journal of Half-Baked Ideas, the creation of which was recently proposed by Dr. I. J. Good. Dr. McCarthy will probably be the first to admit this. Before he goes on to bake his ideas fully, it might be well to give him some advice and raise some objections. He himself mentions some possible objections, but I do not think that he treats them with the full consideration they deserve; there are others he does not mention.For lack of time, I shall not go into the first part of his paper, although I think that it contains a lot of highly unclear philosophical, or pseudo-philosophical assumptions. I shall rather spend my time in commenting on the example he works out in his paper at some length. Before I start, let me voice my protest against the general assumption of Dr. McCarthy -- slightly caricatured -- that a machine, if only its program is specified with a sufficient degree of carelessness, will be able to carry out satisfactory even rather difficult tasks."In Proceedings of the Symposium on the Mechanization of Thought Processes, National Physical Laboratory 1:77-84