The Art of Artificial Intelligence: Themes and Case Studies of Knowledge Engineering
See also: Stanford Heuristic Programming Project Memo HPP-77-25Proc. IJCAI-77: Fifth International Joint Conference on Artificial Intelligence, pp 1014-1029
NUDGE, a knowledge-based scheduling program
Goldstein, I. P., Roberts, R. B.
See also: MIT.Proc. IJCAI 77 VOL 1, MASSACHUSETTS INSTITUTE OF TECHNOLOGY, CAMBRIDGE, MASSACHUSETTS, USA, pp.257-263, AUGUST 22-25
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)
Exactly how good are heuristics? Toward a realistic predictive theory of best-first search
Also found at aminer.orgProc. IJCAI 77 VOL 1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY CAMBRIDGE, MASSACHUSETTS, USA AUGUST 22 - 25 , 1977, pp.434-441.
Production systems as control structures for programming languages
SIGART Newsletter 63:33-37
Generating project networks
Proc. Fifth Intl. Joint Conference on Artificial Intelligence (IJCAI-77) pp. 888-893, Boston, Mass. USA, August 1977. Reprinted in "Readings in Planning", Morgan-Kaufmann, 1990.
Experiences in evaluation with BKG—A program that plays backgammon
Proc. IJCAI 77 VOL 1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY CAMBRIDGE, MASSACHUSETTS, USA AUGUST 22 - 25 , 1977, pp.428-433
OPS, a domain-independent production system language
Proc. IJCAI 77 VOL 1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY CAMBRIDGE, MASSACHUSETTS, USA AUGUST 22 - 25 , 1977, pp.933-939
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.