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ORCIDComputational Intelligence, Volume 3
Volume 3, 1987
- William R. Murray:
Automatic program debugging for intelligent tutoring systems. 1-16 - Stuart A. Macmillan, Derek H. Sleeman:
An architecture for a self-improving instructional planner for intelligent tutoring systems. 17-27 - F. A. Martin:
LIY: learn-it-yourself software interfaces. 28-34 - Robin Cooper:
Meaning representation in Montague grammar and situation semantics. 35-44 - Beverly Park Woolf:
Representing complex knowledge in an intelligent machine tutor. 45-55 - Robert F. Hadley:
Gödel, Lucas, and mechanical models of the mind. 57-63 - Peter F. Patel-Schneider:
A hybrid, decidable, logic-based knowledge representation system. 64-77 - Hector J. Levesque, Ronald J. Brachman:
Expressiveness and tractability in knowledge representation and reasoning. 78-93 - David W. Etherington, Robert E. Mercer:
Domain circumscription: a reevaluation. 94-99 - Ronald Prescott Loui:
Defeat among arguments: a system of defeasible inference. 100-106 - Stan Raatz, George Drastal:
Patterns of interaction in rule-based expert system programming. 107-116 - Larry A. Rendell:
The papers of this issue on machine learning: editorial. 239-240 - Larry A. Rendell:
Similarity-based learning and its extensions. 241-266 - A. Lynn Abbott:
Cohesion methods in inductive learning. 267-282 - Christopher J. Matheus
, William E. Hohensee:
Learning in artificial neural systems. 283-294 - Ranan B. Banerji:
A discussion of a report by Ehud Shapiro. 295-303 - Satosi Watanabe:
Inductive ambiguity and the limits of artificial intelligence. 304-309 - James P. Delgrande:
A foundational approach to autonomous knowledge acquisition. 310-329 - Margaret E. Connell, Paul E. Utgoff:
Learning to control a dynamic physical system. 330-337 - Wayne Iba, Pat Langley:
A computational theory of motor learning. 338-350 - Krish Purswani, Larry A. Rendell:
A reasoning-based approach to machine learning. 351-366
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