James R. Slagle

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James R. Slagle [1] James Robert Slagle, (born March 1, 1934)

an American mathematician, computer scientist, and since 1984 Distinguished Professor of Computer Science at the University of Minnesota, Minneapolis, with former appointments at Johns Hopkins University, National Institutes of Health, Bethesda, Maryland, Naval Research Laboratory, Lawrence Radiation Laboratory, University of California and Massachusetts Institute of Technology. As Freshman Calculus Student and Ph.D. candidate at MIT, supervised by Marvin Minsky [2] in 1961, he wrote his dissertation entitled Heuristic Program that Solves Symbolic Integration Problems in Freshman Calculus, Symbolic Automatic Integrator (Saint) [3], which is acknowledged as first Expert system [4]. His further research interests covers heuristic Theorem-Proving and as application heuristic search.

President Dwight D. Eisenhower, in 1959, presented him with five hundred dollars, awarded by Recording for the Blind Inc., for outstanding work as a blind student [5].

Theorem-Proving#

Abstract of Experiments With a Multipurpose, Theorem-Proving Heuristic Program. [8]:

The heuristic program discussed searches for a constructive proof or disproof of a given proposition. It uses a search procedure which efficiently selects the seemingly best proposition to work on next. This program is multipurpose in that the domains it can handle are varied. As an initial experiment, the program was given the task of searching for proofs and disproofs of propositions about [Kalah](Kalah "Kalah") end games. Kalah is a two-person game. In another experiment the program, after some modifications, played the game of Kalah. This program was compared with another tree-searching procedure, the [Alpha-Beta](Alpha-Beta "Alpha-Beta") minimax procedure; the results have been encouraging since the program is fast and efficient. Its greatest usefulness is in solving large problems. It is hoped that this program has added one more step toward the goal of eventually obtaining computer programs which can solve intellectually difficult problems.  

M & N procedure#

Abstract of Experiments with the M & N Tree-Searching Program [9]:

The M & N procedure is an improvement to the mini-max backing-up procedure widely used in computer programs for game-playing and other purposes. It is based on the principle that it is desirable to have many options when making decisions in the face of uncertainty. The mini-max procedure assigns to a MAX (MIN) node the value of the highest (lowest) valued successor to that node. The M & N procedure assigns to a MAX (MIN) node some function of the M (N) highest (lowest) valued successors. An M & N procedure was written in LISP to play the game of Kalah, and it was demonstrated that the M & N procedure is significantly superior to the mini-max procedure. The statistical significance of important conclusions is given. Since information on statistical significance has often been lacking in papers on computer experiments in the artificial intelligence field, these experiments can perhaps serve as a model for future work. 

Selected Publications#

[10] [11] [12] [13]

1959#

• James R. Slagle (1959). Formal integration on a digital computer. 14th national meeting of the Association for Computing Machinery

1960 …#

• James R. Slagle (1961). A Heuristic Program that Solves Symbolic Integration Problems in Freshman Calculus, Symbolic Automatic Integrator (Saint). pdf
• James R. Slagle (1963). A Heuristic Program that Solves Symbolic Integration Problems in Freshman Calculus. Journal of the ACM, Vol. 10, No. 4
• James R. Slagle (1963). Game Trees, M & N Minimaxing, and the M & N alpha-beta procedure. Artificial Intelligence Group Report 3, UCRL-4671, University of California
• James R. Slagle (1964). An Efficient Algorithm for Finding Certain Minimum-Cost Procedures for Making Binary Decisions. Journal of the ACM, Vol. 11, No. 3
• James R. Slagle (1964). On an algorithm for minimum-cost procedures. Communications of the ACM, Vol. 7, No. 11
• James R. Slagle (1965). A multipurpose Theorem Proving Heuristic Program that learns. IFIP Congress 65, Vol. 2
• James R. Slagle (1965). Experiments with a deductive question-answering program. Communications of the ACM, Vol. 8, No. 12
• James R. Slagle (1967). Automatic Theorem Proving With Renamable and Semantic Resolution. Journal of the ACM, Vol. 14, No. 4
• James R. Slagle, Philip Bursky (1968). Experiments With a Multipurpose, Theorem-Proving Heuristic Program. Journal of the ACM, Vol. 15, No. 1 [14]:
• James R. Slagle, John K. Dixon (1969). Experiments With Some Programs That Search Game Trees. Journal of the ACM, Vol. 16, No. 2, pdf, pdf
• James R. Slagle, Chin-Liang Chang, Richard C. T. Lee (1969). Completeness Theorems for Semantic Resolution In Consequence-Finding. IJCAI-69, pdf

1970 …#

• James R. Slagle, Chin-Liang Chang, Richard C. T. Lee (1970). A New Algorithm for Generating Prime Implicants. IEEE Transactions on Computers, Vol. 19, No. 4
• James R. Slagle, John K. Dixon (1970). Experiments with the M & N Tree-Searching Program. Communications of the ACM, Vol. 13, No. 3
• James R. Slagle (1971). Artificial Intelligence: The Heuristic Programming Approach. McGraw-Hill, New York. amazon
• James R. Slagle, Carl D. Farell (1971). Experiments in automatic learning for a multipurpose hueristic program. Communications of the ACM, Vol. 14, No. 2
• James R. Slagle, Richard C. T. Lee (1971). Application of game tree searching techniques to sequential pattern recognition. Communications of the ACM, Vol. 14, No. 2
• Chin-Liang Chang, James R. Slagle (1979). Using Rewriting Rules for Connection Graphs to Prove Theorems. Artificial Intelligence

1980 …#

• James R. Slagle, John K. Dixon (1980). Finding a good figure that approximately passes through given points. Pattern Recognition, 1980
• John K. Dixon, Herbert A. Johnson, James R. Slagle (1980). The Prospect of an Under Water Naval Robot. Naval Engineers Journal, Vol. 92, No. 1
• John K. Dixon, Susan A. Bouchard, William G. Kennedy, James R. Slagle (1981). MARK I Robot. IJCAI'1981, pdf
• James R. Slagle, John K. Dixon (1984). Freedom descriptions: A way to find figures that approximate given points. Pattern Recognition, 1984
• Henry Hamburger, James R. Slagle (1986). Heterogeneous discrete expenditure for diminishing returns. Naval Research Logistics Quarterly, Vol. 33, No. 2
• Erach A. Irani, John P. Matts, John M. Long, James R. Slagle, POSCH group (1989). Using Artificial Neural Nets for Statistical Discovery: Observations after Using Backpropogation, Expert Systems, and Multiple-Linear Regression on Clinical Trial Data. University of Minnesota, Minneapolis, MN 55455, USA, Complex Systems 3, pdf

1990 …#

• Erach A. Irani, James R. Slagle, John M. Long, John P. Matts (1990). Formulating an approach to develop a system for the temporal analysis of clinical trial data: The POSCH AI project. Annals of Mathematics and Artificial Intelligence, Volume 2, Numbers 1-4
• James R. Slagle, Zbigniew Wieckowski a.k.a. Bishak (1994). Ideas for Intelligent User Interface Design.

2000 …#

• Dean F. Hougen, Maria Gini, James R. Slagle (2000). An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control. ICML ‘00 Proceedings of the Seventeenth International Conference on Machine Learning
• Pamela McCorduck (2004). Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence. A. K. Peters (25th anniversary edition)

External Links#

• James Robert Slagle from Wikipedia
• James Robert Slagle (born 1934), American computer science educator | Prabook
• The Mathematics Genealogy Project - James Robert Slagle
• Winners of Past Over-The-Board Tournaments, United States Braille Chess Association
• Slagle, who is blind, received the Class A trophy, The Free Lance-Star February 01, 1971, from Google news
• Elected AAAI Fellows
• Expert Systems with Applications - Editorial Board, pdf

References#

1. ↑ Jet, January 22, 1970, pp 21
2. ↑ Personal page for Marvin Minsky
3. ↑ The Mathematics Genealogy Project - James Robert Slagle
4. ↑ SAINT (Inventions) - what-when-how (states James R. Slagle died in 1994)
5. ↑ Education: Their Best, Time, June 01, 1959
6. ↑ Terasem Journal of Personal Cyberconsciousness - Marvin Lee Minsky discussing his book, The Emotion Machine
7. ↑ Marvin Minsky’s Home Page
8. ↑ James R. Slagle, Philip Bursky (1968). Experiments With a Multipurpose, Theorem-Proving Heuristic Program. Journal of the ACM, Vol. 15, No. 1
9. ↑ James R. Slagle, John K. Dixon (1970). Experiments with the M & N Tree-Searching Program. Communications of the ACM, Vol. 13, No. 3
10. ↑ JACM Authors - James R. Slagle
11. ↑ ICGA Reference Database
12. ↑ dblp: James R. Slagle
13. ↑ Bibliography for Artificial Intelligence: A Modern Approach
14. ↑ David C. Cooper (1970). Review: James R. Slagle, Philip Bursky, Experiments with a Multipurpose, Theorem-Proving Heuristic Program. Journal of Symbolic Logic, Vol. 35, No. 4

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