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Generalization learning techniques for automating the learning of heuristics
Artificial Intelligence 1:121-170
A computer-assisted study of Go on m X n boards
In R. B. Banerji and M. D. Mesarovic (Eds.), Theoretical approaches to non-numerical problem solving. Berlin: Springer-Verlag, 303-343.
Some Speculation about Artificial Intelligence and Legal Reasoning
Arguably the first article discussing the uses of AI in the law beyond straightforward information retrieval.Although the computer has worked its way out of the laboratory and into common experience, lawyers have made slim progress towards finding useful computer applications. Research in artificial intelligence, a branch of computer science, has illuminated our capacity to use computers to model human thought processes. This research suggests that computer science may assist lawyers in both the study and performance of their reasoning processes. In this Article we will argue that the time has come for serious interdisciplinary work between lawyers and computer scientists to explore the computer's potential in law.Stanford Law Review vol.23, no.1, November, 1970
The traveling salesman problem and minimum spanning trees
This paper explores new approaches to the symmetric traveling-salesman problem in which 1-trees, which are a slight variant of spanning trees, play an essential role. A 1-tree is a tree together with an additional vertex connected to the tree by two edges. We observe that (i) a tour is precisely a 1-tree in which each vertex has degree 2, (ii) a minimum 1-tree is easy to compute, and (iii) the transformation on “intercity distances” cij → Cij + πi + πj leaves the traveling-salesman problem invariant but changes the minimum 1-tree. Operations Research, 18, 1138–1162.
Programming a computer to play chess
Adelson-Velsky, G. M., Arlazarov, V. L., Bitman, A. R., Zhivotovsky, A. A., Uskov, A. V.
Russian Mathematical Surveys, 25, 221-262
English as a formal language
In Linguaggi nella Societ`a e nella Tecnica, pp. 189â 224. Edizioni di Comunit`a.
Natural language question-answering systems: 1969
See also: ACM Digital Library.CACM 13 (1):15-30
AI in CAI: An artificial intelligence approach to computer-assisted instruction
Full text available for a fee. The main purpose of the research reported here is to show that a new and more powerful type of computer-assisted instruction (CAI), based on extensive application of artificial-intelligence (AI) techniques, is feasible, and to demonstrate some of its major capabilities. A set of computer programs was written and given the name SCHOLAR. Due to its complexity, only the conception and educational aspects of this system (including an actual on-line protocol) are presented in this paper. IEEE Transactions on Man-Machine Systems MMS-ll:190-202