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Introduction to the COMTEX Microfiche Edition of Reports on Artificial Intelligence from Carnegie-Mellon University

AI Magazine

Originally it was Complex Information Processing. That was the name Herb Simon and I chose in 1956 to describe the area in which we are working. It didn't take long before it became Artificial Intelligence (AI). Coined by John McCarthy, that term has stuck firmly, despite continual grumblings that any other name would be twice as fair (though no grumblings by me; I like the present name). Complex Information processing lives on now only in the title of the CIP Working Papers, a series started by Herb Simon in 1956 and still accumulating entries (to 447). However, from about 1965 much of the work on artificial intelligence that was not related to psychology began to appear in technical reports of the Computer Science Department. These reports, never part of a coherent numbered series until 1978, proliferated in all directions. Starting in the early 1970s (on one can recall exactly when), they did become the subject of a general mailing and thus began to form what everyone thinks of as the CMU Computer Science Technical Reports.


EXPRS: A Prototype Expert System Using Prolog for Data Fusion

AI Magazine

During the past year, a prototype expert system for tactical data fusion has been under development,. This computer program combines various messages concerning electronic intelligence (ELINT) to aid in decision making concerning enemy actions and intentions. The prototype system is written in Prolog, a language that has proved to be very powerful and easy to use for problem /rule development. The resulting prototype system (called EXPRS-Expert Prolog System) uses English-like rule constructs of Prolog code. This approach enables the system to generate answers automatically to "why" a ruled fired, and "how" that rule fired. In addition, a rule clause construct is provided which allows direct access to Prolog code routines. This paper describes the structure of the rules used and provides typical user interactions.


Artificial Intelligence, Employment, and Income

AI Magazine

Artificial intelligence (AI) will have profound societal effects. It promises potential benefits (and may also pose risks) in education, defense, business, law and science. In this article we explore how AI is likely to affect employment and the distribution of income. We argue that AI will indeed reduce drastically the need of human toil. We also note that some people fear the automation of work by machines and the resulting of unemployment. Yet, since the majority of us probably would rather use our time for activities other than our present jobs, we ought thus to greet the work-eliminating consequences of AI enthusiastically. The paper discusses two reasons, one economic and one psychological, for this paradoxical apprehension. We conclude with discussion of problems of moving toward the kind of economy that will be enabled by developments in AI.


Expert Systems Without Computers, or Theory and Trust in Artificial Intelligence

AI Magazine

Abstract, Editors' Note: In this provocative article Doyle suggests that many of the benefits of current expert systems technology Knowledge engineers qualified to build expert systems are currently in could be achieved without computer-based implementations. Is there not an intermediary position? This revolution is very Namely, that the problems encountered by today's expert important. The views and conclusions contained manpower. The novice still botches the task, but explains in detail of knowledge engineers in the current fashion.



Introduction to the COMTEX Microfiche Edition of the SRI Artificial Intelligence Center: Technical Notes

AI Magazine

Charles A. Rosen came to SRI in 1957. I arrived in 1961. Between these dates, Charlie organized an Applied Physics Laboratory and became interested in "learning machines" and "self-organizing systems." That interest launched a group that ultimately grew into a major world center of artificial intelligence research - a center that has endured twenty-five years of boom and bust in fashion, has "graduated" over a hundred AI research professionals, and has generated ideas and programs resulting in new products and companies as well as scientific articles, books, and this particular collection itself.


Artificial Intelligence Research at the University of Maryland

AI Magazine

The University of Maryland's Computer Science Department conducts a broad research program in both theoretical and applied artificial intelligence. Nine faculty and more than fifty research associates and graduate students are involved in AI research. Projects are funded by a large number of government agencies, as well as by several major corporations. The computing environment will improve dramatically over the next several years, due in large part to Coordinated Experimental Research Department by the National Science Foundation in 1982. In addition to the research program in AI, the Department offers a large number of courses at both the graduate and undergraduate levels on all facets of AI. The principal AI laboratories also sponsor numerous colloquia by visiting scientists and permanent laboratory personnel. The principal research areas are computer vision, search and decision making, parallel problems solving, and database research.


Alexander Lerner: A Biographical Sketch

AI Magazine

In 1939, he defended a thesis on a new method of calculating A special session entitled "Future Directions In Artificial He was awarded the title Candidate of Intelligence in Washington, D.C. in August. The session, Technical Sciences by the Moscow Institute of Energetics, chaired by Jack Minker, was held to honor Soviet cyberneticist where he worked as a lecturer until the USSR entered World Alexander Yankelovich Lerner's seventieth birthday. He was then commissioned to work at an iron and Minker described Dr. Lerner's contributions to science. The two years of practical work at the Patrick Winston gave a technical presentation, followed by plant led to his book Construction of Industraal Automatic questions from the audience. Electrzcal Drives, published in 1950, together with E.A. Following the session, 228 attendees signed a letter wishing Rosenman. After the war he was appointed head of the Dr. Lerner a happy birthday, and 233 attendees signed USSR's newly established Central ...


Letters to the Editor

AI Magazine

The second example is of another distinguished scholar who, in a passionate contribution to the debate, stated that ... May I also take this opportunity to praise the staff Western governments, were thereby displaying a full sense of I look forward to the continuing success of the Association social responsibility, and anybody who disagreed with this in all its activities. On the surface this appears Yours sincerely, to be at least logical, until one reflects that it would not Marten E. Bennett be particularly difficult with this kind of argument to prove Gzllingham, Kent, UK that Hitler displayed a sense of social responsiblity, since one has no reason to believe that he was not sincere in believing that Jews, communists, Western capitalists and others would destroy his country if not checked. There is really not much excuse these days for anyone The background to it is the "Marietta affair." University of Cambridge, "Defended to Death," edited by movement protested on the conference site, and after some Gwyn Prins and published by Penguin Books). I came away from the meeting wondering why apparently comments.


Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project

Classics

Artificial intelligence, or AI, is largely an experimental science—at least as much progress has been made by building and analyzing programs as by examining theoretical questions. MYCIN is one of several well-known programs that embody some intelligence and provide data on the extent to which intelligent behavior can be programmed. As with other AI programs, its development was slow and not always in a forward direction. But we feel we learned some useful lessons in the course of nearly a decade of work on MYCIN and related programs. In this book we share the results of many experiments performed in that time, and we try to paint a coherent picture of the work. The book is intended to be a critical analysis of several pieces of related research, performed by a large number of scientists. We believe that the whole field of AI will benefit from such attempts to take a detailed retrospective look at experiments, for in this way the scientific foundations of the field will gradually be defined. It is for all these reasons that we have prepared this analysis of the MYCIN experiments.

The complete book in a single file.