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Representation of knowledge in a geometry machine
In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley, 11-29.
Model representations and control structures in image understanding
Hierarchies are observed in the levels of description used in image understanding along a few dimensions: processing unit, detail, composition and scene/view distinction. Emphasis is placed on the importance of explicitly handling the hierarchies both in representing knowledge and in using it. A scheme of "knowledge block" representation which is structured along the processing-unit hierarchy is also presented. I. INTRODUCTION Image Understanding System(IUS) constructs a description of the scene being viewed from an array of image sensory data: intensity, color, and sometimes range data. Image understanding is best characterized by description, whereas pattern recognition by classification, and image processing by image output.
A general backtrack algorithm that eliminates most redundant tests
In IJCAI-77, p. 457.
Human engineering for applied natural language processing
Proc. IJCAI 77 VOL 1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY CAMBRIDGE, MASSACHUSETTS, USA AUGUST 22 - 25 , 1977, pp. 183-191.
The representation and use of focus in a system for understanding dialogs
Proc. IJCAI 77 VOL 1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY CAMBRIDGE, MASSACHUSETTS, USA AUGUST 22 - 25 , 1977, pp. 67-76 (reprinted in RNLP: 353-362)
Achieving several goals simultaneously
Reprinted as Chapter 3 (pp.250-271) of Webber & Nilsson, Readings in Artificial IntelligenceElcock, E. W. and Michie, D. (Eds.), Machine Intelligence 8, pp. 94-ยย138. Ellis Horwood.
How to see a simple world: an exegesis of some computer programs for scene analysis.
In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley.
An overview of OWL, a language for knowledge representation
Szolovitz, P. | Hawkinson, L. B. | Martin, W. A.
Rep. No. TM-86, Laboratory for Computer Science, Massachusetts Institute of Technology.
A Chess Combination Program Which Uses Plans
The program analyses carefully the initial situation. It creates some plans and tries to execute them. It analyses the situations deeper in the tree only if the plan fails. In that case it generates new plans correcting what is wrong in the old one. So, the program considers only natural branches of the tree. It can find combinations for which it is necessary to look more than twenty ply ahead. The paper describes the methods used for analyzing a situation and for modifying unsuccessful plans. Then we examine some results found by the program.Artificial Intelligence 8 (1977), 275-321
