Technology
A Preliminary Study of Human Pattern-Recognition
Group Report 34-75, Lincoln Laboratories, Massachusetts Institute of Technology,Lexington, Mass
Mechanisation of Thought Processes vol. 1 & 2
TABLE OF CONTENTS FOR the two volumes of papers and discussions of papers from the 1959 conference held at the National Physical Laboratory, sometimes known as "The Teddington Conference". Officially these two volumes are the Proceedings of the Symposium on Mechanisation of Thought Processes. Many of the classics are downloadable separately, the remainder are available from the longer downloads of the complete volumes:Vol 1 = http://aitopics.org/sites/default/files/classic/TeddingtonConference/Mechanisation of Thought Processes Vol. 1.pdfVol. 2 = http://aitopics.org/sites/default/files/classic/TeddingtonConference/Mechanisation of Thought Processes Vol. 2.pdfTeddington Conference
Hill-climbing: Some Remarks on Multiple Simultaneous Optimization
Howland, B., Minsky, M. L., Selfridge, O. G.
Group Report 54-15, Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Mass
Machine learning
From: Technology Review, November, 62:42-45. See also: Some studies in machine learning using the game of checkers, IBM Journal of Research and Development, 3(3) :210-229, 1959.
Pattern Recognition and Reading by Machine
"MANY EFFORTS have been made to discriminate, categorize, and quantitate patterns, and to reduce them into a usable machine language. The results have ordinarily been methods or devices with a high degree of specificity. For example, some devices require a special type font; others can read only one type font; still others require magnetic ink. We have an interest in decision-making circuits with the following qualities: (1) measurable high reliability in decision making, (2) either a high or a low reliability input, and (3) possibly low reliability components. The high specificity of the devices and methods mentioned above was felt to be a drawback for our purposes. All of these approaches prove upon inspection to center upon analysis of the specific characteristics of patterns into parts, followed by a synthesis of the whole from the parts. In these studies, pattern recognition of the whole, that is, Gestalt recognition, was chosen as a more fruitful avenue of approach and as a satisfactory problem for the initial phases of the over-all study." Proceedings of the Eastern Joint Computer Conference, pp. 225-232, New York: Association for Computing Machinery
