Information Technology
A knowledge-based computer vision system
In A. Hanson and E. Riseman (Eds.), Computer vision systems. New York: Academic Press, 335-352.
A system of cause-effect representation and simulation for computer-aided design
Artificial Intelligence and Pattern Recognition in Computer Aided Design. New York: North Holland: 250-257
Imagery and artificial intelligence
In C. W. Savage (Ed.), Perception and cognition: Issues in the foundations of psychology. Minneapolis: University of Minnesota Press.
Rule-based understanding of signals
Nii, H. P. | Feigenbaum, E. A.
In Waterman and Hayes-Roth, 483-501.
Pattern-based representation of chess end-game knowledge
Bratko, L. | Kopec, D. | Michie, D.
Computer J. 21:149-153
Models of learning systems
Buchanan, B. G. | Mitchell, T. M. | Smith, R. G. | Johnson, C. R.
"The terms adaptation, learning, concept-formation, induction, self-organization, and self-repair have all been used in the context of learning system (LS) research. The research has been conducted within many different scientific communities, however, and these terms have come to have a variety of meanings. It is therefore often difficult to recognize that problems which are described differently may in fact be identical. Learning system models as well are often tuned to the require- ments of a particular discipline and are not suitable for application in related disciplines."In Encyclopedia of Computer Science and Technology, Vol. 11. Dekker
The Inference of Regular LISP Programs from Examples
—A class of LISP programs that is analogous to the finite-state automata is defined, and an algorithm is given for constructing such programs from examples of their input-output behavior. It is shown that the algorithm has robust performance for a wide variety of inputs and that it converges to a solution on the basis of minimum input information.IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, VOL. SMC-8, NO. 8,