Intelligent behavior in problem solving machines
IBM J. Research and Development 2:336-345
Elements of a theory of human problem solving
A description of a theory of problem-solving in terms of information processes amenable for use in a digital computer. The postulates are: "A control system consisting of a number of memories, which contain symbolized information and are interconnected by various ordering relations; a number of primitive information processes, which operate on the information in the memories; a perfectly definite set of rules for combining these processes into whole programs of processing." Examples are given of how processes that occur in behavior can be realized out of elementary information processes. The heuristic value of this theory is pertinent to theories of learning, perception, and concept formation. Psychological Review, March, 65(3):151-166.
Maximum likelihood estimation from incomplete data
Biometrics is a scientific journal emphasizing the role of statistics and mathematics in the biological sciences. Its object is to promote and extend the use of mathematical and statistical methods in pure and applied biological sciences by describing developments in these methods and their applications in a form readily assimilable by experimental scientists. JSTOR provides a digital archive of the print version of Biometrics. Authorized users may be able to access the full text articles at this site.
Automatic programming-properties and performance of FORTRAN systems I and II
Proceedings of the Symposium on the Mechanisation of Thought Processes.Teddington, Middlesex, England: National Physical Laboratory.
The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain
Psychological Review, Vol. 65, pp. 386 ff.
The Perceptron: A Theory of Statistical Separability in Cognitive Systems
Report VG-1196-G-1, Cornell Aeronautical Laboratory, Buffalo, NY
The Processes of Creative Thinking
"We ask first whether we need a theory of creative thinking distinct from a theory of problem solving. Subject to minor qualifications, we conclude there is no such need -- that we call problem solving creative when the problems solved are relatively new and difficult. Next, we summarize what has been learned about problem solving by simulating certain human problem solving processes with digital computers. Finally, we indicate some of the differences in degreee that might be observed in comparing relatively creative with relative routine problem solving."RAND Corporation Paper P-1320, Santa Monica, Calif