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.

In Yovitts, M. and Cameron, S. (eds.) Self-organizing Systems. New York: Pergamon

This work is partly included in a project sponsored by Statens tekniska forskningsråd (Sweden). Berg, and Mr Voghera for reading the manuscript and making valuable suggestions (see also n. 11). Use the link below to share a full-text version of this article with your friends and colleagues.

Research report RC 294, IBM, Yorktown Heights, New York

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

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.

This is an attempt to analyze attitudes and arguments brought forth by questions like "Can machines think?" and "Can machines exhibit intelligence?" Its purpose is to improve the climate which surrounds research in the field of machine or artificial intelligence. Its goal is not to convince those who answer the above questions negatively that they are wrong (although an attempt will be made to refute some of the negative arguments) but that they should be tolerant of research investigating these questions. The negative attitudes existent today tend to inhibit such research.Reprinted in Feigenbaum & Feldman, Computers and Thought (1963).Also in Datamation 9(3), March 1963, pp.34-38.Symposium on Bionics, Rand Technical Report 60 600, pp. 13-19

Journal of the Association for Computing Machinery, Vol 7, pp. 102-128