MH-1 is a motorized and sensitized servomanipulator operated by the TX-O computer at the Massachusetts Institute of Technology. It serves as an experimental vehicle to explore the feasibility of direct relations between a digital computer and the physical world with which this computer is concerned. Usually, a human interpreter stands between the computer and the physical world. Instead, the TX-O computer in the MH-1 system is programmed to perform by itself some of the functions normally assigned to the human intermediary; namely, to perceive the world, to appreciate it, and to determine a reasonable course of action after a goal has been specified for the hand. The data processing tools used are, rather than numerical operations on quantitative signals, pattern recognition and simulation of higher cognitive processes such as awareness and understanding. This paper describes some of the experiments performed with MH-1 and the mechanisms upon which the capabilities of MH-1 are based.

The complete rules for coding in Information Processing Language-V (IPL-V), and the documentation of extensions incorporated since publication of the Information Processing Language-V Manual. A summary of extensions and the minor modifications to the language is contained in the final section. An index, a list of the basic IPL-V processes, and a full-scale copy of the coding sheet appear at the end of the Memorandum.See also: Google Books.Prentice·Hall, Englewood Cliffs, NJ.

This inquiry examines a technique for automatically classifying (indexing) documents according to their subject content. The task, in essence, is to have a computing machine read a document and on the basis of the occurrence of selected clue words decide to which of many subject categories the document in question belongs. This paper describes the design, execution and evaluation of a modest experimental study aimed at testing empirically one statistical technique for automatic indexing.

The purpose of this report is to describe in detail an informationProcessing model of elementary human symbolic learning processes. Thismodel is realized by a computer program called the Elementary Perceiverand Memorizer (EPAM).The EPAM program is the precise statement of an information processingtheory of verbal learning that provides an alternative to other verballearning theories which have been proposed.1 It is the result of an attemptto state quite precisely a parsimonious and plausible mechanism sufficientto account for the rote learning of nonsense syllables. The criticalevaluation of EPAM must ultimately depend not upon the interest whichit may have as a learning machine, but upon its ability to explain andPredict the phenomena of verbal learning. Proceedings of the Western Joint Computer Conference, 1961, 19:121-132. Reprinted in Feigenbaum & Feldman, Computers and Thought (1963).

IRE International Convention Record, pt 2, pp. 66-70

Report VG-1196-G-4, Cornell Aeronautical Laboratory.

The hope that mathematical methods employed in the investigation of formal logic would lead to purely computational methods for obtaining mathematical theorems goes back to Leibniz and has been revived by Peano around the turn of the century and by Hilbert's school in the 1920's. Hilbert, noting that all of classical mathematics could be formalized within quantification theory, declared that the problem of finding an algorithm for determining whether or not a given formula of quantification theory is valid was the central problem of mathematical logic. And indeed, at one time it seemed as if investigations of this "decision" problem were on the verge of success. However, it was shown by Church and by Turing that such an algorithm can not exist. This result led to considerable pessimism regarding the possibility of using modern digital computers in deciding significant mathematical questions.

CACM, 7, 219–244.

In von Foerster, H. (ed) Illinois Symposium on Principles of Self-Organization, Univ. of Illinois, Urbana, IL (1960)

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