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Stanford Artificial Intelligence Project Memo AIM-104: 1-15 | 1970

A Heuristic Program for Solving A Scientific Inference Problem: Summary of Motivation and Implementation

Joshua Lederberg; Georgia L. Sutherland; Bruce G. Buchanan; Edward A. Feigenbaum

The “scientific method” involves two very different kinds of intelligent behavior, sometimes called induction and deduction respectively. A theory is somehow “induced”, sometimes out of sheer speculation, in order to account for some hitherto baffling or provocative observations of nature. Then, the theory is applied deductively, i.e., logically or mathematically rigorous conclusions are made. If the theory is true, then certain results must be obtained. Philosophers of science are now generally agreed that a theory can never be proven or logically derived from factual data. We accept a theory as true when it has made some new predictions, different from the predictions of other theories, which survive the test of experimental measurement.


Machine intelligence | 1968

HEURISTIC DENDRAL: A PROGRAM FOR GENERATING EXPLANATORY HYPOTHESES IN ORGANIC CHEMISTRY,

Bruce G. Buchanan; Georgia L. Sutherland


Journal of the American Chemical Society | 1969

Applications of artificial intelligence for chemical inference. I. Number of possible organic compounds. Acyclic structures containing carbon, hydrogen, oxygen, and nitrogen

Joshua Lederberg; Georgia L. Sutherland; Bruce G. Buchanan; Edward A. Feigenbaum; Alexander V. Robertson; Alan M. Duffield; Carl Djerassi


Journal of the American Chemical Society | 1969

Applications of artificial intelligence for chemical inference. II. Interpretation of low-resolution mass spectra of ketones

A. M. Duffield; Alexander V. Robertson; Carl Djerassi; Bruce G. Buchanan; Georgia L. Sutherland; Edward A. Feigenbaum; Joshua Lederberg


Journal of the American Chemical Society | 1969

Applications of artificial intelligence for chemical inference. III. Aliphatic ethers diagnosed by their low-resolution mass spectra and nuclear magnetic resonance data

Gustav Schroll; A. M. Duffield; Carl Djerassi; Bruce G. Buchanan; Georgia L. Sutherland; Edward A. Feigenbaum; Joshua Lederberg


Archive | 1969

Applications of artificial intelligence for chemical inference. I - The number of possible organic compounds - Acyclic structures containing C, H, O, and N.

Bruce G. Buchanan; Carl Djerassi; A. M. Duffield; Edward A. Feigenbaum; Joshua Lederberg; Alexander V. Robertson; Georgia L. Sutherland


Journal of the American Chemical Society | 1970

Applications of artificial intelligence for chemical inference. IV. Saturated amines diagnosed by their low resolution mass spectra and nuclear magnetic resonance spectra

Carl Djerassi; Armand Buchs; A. M. Duffield; G. Schroll; Allan B. Delfino; Bruce G. Buchanan; Georgia L. Sutherland; Edward A. Feigenbaum; Joshua Lederberg


Buchanan, Bruce G., Georgia L. Sutherland, and E. A. Feigenbaum. "Rediscovering Some Problems of Artificial Intelligence#N# in the Context of Organic Chemistry." Chapter 14 in Volume 5 of Machine Intelligence, edited by B. Meltzer and D. Michie.#N# Edinburgh University Press, 1970. Pp. 253-280. Excerpt. Monograph. 28 Images. | 1970

Rediscovering Some Problems of Artificial Intelligence in the Context of Organic Chemistry

Bruce G. Buchanan; Georgia L. Sutherland; Edward A. Feigenbaum


Journal of Mass Spectrometry | 1970

Applications of artificial intelligence for chemical inference—V. An approach to the computer generation of cyclic structures. Differentiation between all the possible isomeric ketones of compositon C6H10O†

Younus M. Sheikh; Armand Buchs; Allan B. Delfino; G. Schroll; A. M. Duffield; Carl Djerassi; Bruce G. Buchanan; Georgia L. Sutherland; Edward A. Feigenbaum; Joshua Lederberg


Archive | 1969

TOWARD AN UNDERSTANDING OF INFORMATION PROCESSES OF SCIENTIFIC INFERENCE IN THE CONTEXT OF ORGANIC CHEMISTRY

Bruce G. Buchanan; Georgia L. Sutherland; Edward A. Feigenbaum

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