Machine Learning
The HEARSAY-II speech understanding system: Integrating knowledge to resolve uncertainty
ACM Computing Survey 12:213-253
Using patterns and plans in chess
Earlier version in IJCAI 6 (1979). Artificial Intelligence, 14 (2), 165-203.
Model design in the PROSPECTOR consultant system for mineral exploration
Duda, R. | Gaschnig, J. | Hart, P.E.
D.Michie (Ed.), Expert systems in the micro- electronic age.Edinburgh: Edinburgh University Press, 153-167
On Automated Scientific Theory Formation: A Case Study using the AM Program
A program called "AM" is described which carries on simple mathematics research,defining and studying new concepts under the guidance of a large body ofheuristic rules. The 250 heuristics communicate via an agenda mechanism, aglobal priority queue of small tasks for the program to perform, and reasons whyeach task is plausible (for example, "Find generalizations of 'primes', because'primes' turned out to be so useful a concept"). Each concept is represented asan active, structured knowledge module. One hundred very incomplete modulesare initially supplied, each one corresponding to an elementary set-theoreticconcept (for example, union). This provides a definite but immense space whichAM begins to explore. In one hour, AM rediscovers hundreds of common concepts(including singleton sets, natural numbers, arithmetic) and theorems (for example,unique factorization).Summary of Ph.D. dissertation.Hayes, J.E., D. Michie, and L. I. Mikulich (Eds.), Machine Intelligence 9, Ellis Horwood.
Generalized cross-validation as a method for choosing a good ridge parameter
Golub, G. | Heath, M. | Wahba, G.
Technometrics, 21(2)
A general learning theory and its application to schema abstraction
Anderson, J. | Kline, P. | Beasley, C.
In G. H. Bower (Ed.), The psychology of learning and motivation (Vol. 13). New York: Academic Press, 277-318
The Computer Revolution in Philosophy
"Computing can change our ways of thinking about many things, mathematics, biology, engineering, administrative procedures, and many more. But my main concern is that it can change our thinking about ourselves: giving us new models, metaphors, and other thinking tools to aid our efforts to fathom the mysteries of the human mind and heart. The new discipline of Artificial Intelligence is the branch of computing most directly concerned with this revolution. By giving us new, deeper, insights into some of our inner processes, it changes our thinking about ourselves. It therefore changes some of our inner processes, and so changes what we are, like all social, technological and intellectual revolutions." This book, published in 1978 by Harvester Press and Humanities Press, has been out of print for many years, and is now online, produced from a scanned in copy of the original, digitised by OCR software and made available in September 2001. Since then a number of notes and corrections have been added. Atlantic Highlands, NJ: Humanities Press.
Categorical and probabilistic reasoning in medical diagnosis
AI Journal 11(1,2):115— 154. Reprinted in Clancey & Shortliffe, Ch.9.