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SIGART Newsletter, Volume 63
Volume 63, June 1977
- Drew McDermott:
A deductive model of control of a problem solver. 2-7 - Aravind K. Joshi:
Some extensions of a system for inferencing on partial information. 7 - Philip Klahr:
Planning techniques for rule selection in deductive question-answering. 7 - Jack Minker:
Control structure of a pattern-directed search system. 7-14
- Stuart C. Shapiro:
Representing and locating deduction rules in a semantic network. 14-18 - Richard O. Duda, Peter E. Hart, Nils J. Nilsson, Georgia L. Sutherland:
Semantic network representations in rule-based inference systems. 18 - N. S. Sridharan, Charles F. Schmidt:
Knowledge-directed inference in believer. 18 - David R. Barstow:
A knowledge base organization for rules about programming. 18-22
- Douglas B. Lenat, Gregory Harris:
Designing a rule system that searches for scientific discoveries. 23 - Chuck Rieger:
Spontaneous computation in cognitive models. 23 - Michael D. Zisman:
Use of production systems for modeling asynchronous, concurrent processes. 23
- Randall Davis:
Knowledge acquisition in rule-based systems: knowledge about representation as a basis for system construction and maintenance. 23 - Robert H. Anderson:
The use of production systems in RITA to construct personal computer "agents". 23-27 - M. J. Smith, Derek H. Sleeman:
APRIL: a flexible production rule interpreter. 28-33 - Ruven Brooks:
Production systems as control structures for programming languages. 33-37
- John P. McDermott, Charles Forgy:
Production system conflict resolution strategies. 37 - Michael D. Rychener, Allen Newell:
An instructable production system: basic design issues. 37-38 - John P. McDermott, Allen Newell, J. Moore:
The efficiency of certain production system implementations. 38
- Donald A. Waterman:
Exemplary programming in RITA. 38 - James Larson, Ryszard S. Michalski:
Inductive inference of VL decision rules. 38-44 - Steven A. Vere:
Inductive learning of relational productions. 44 - Bruce G. Buchanan, Tom M. Mitchell:
Model-directed learning of production rules. 44 - Leonard Friedman:
Robot perception learning. 44-49 - John H. Holland, Judith S. Reitman:
Cognitive systems based on adaptive algorithms. 49 - Elliot Soloway, Edward M. Riseman:
Knowledge-directed learning. 49-55 - D. J. H. Brown:
Concept learning by feature value interval abstraction. 55-60
- John R. Anderson, Paul J. Kline:
Design of a production system for cognitive modeling. 60-65 - Richard M. Young:
Mixtures of strategies in structurally adaptive production systems: examples from seriation and subtraction. 65-71 - Perry W. Thorndyke:
Pattern-directed processing of knowledge from texts. 71 - Barbara Hayes-Roth:
Implications of human pattern processing for the design of artificial knowledge systems. 71
- William S. Faught:
Conversational action patterns in dialogs. 71 - Robert F. Simmons:
Rule-based computations on English. 71-72 - Roger C. Schank, Robert Wilensky:
A goal-directed production system for story understanding. 72 - Christopher Riesbeck:
An expectation-driven production system for natural language understanding. 72 - David D. McDonald, Frederick Hayes-Roth:
Inferential searches of knowledge networks as an approach to extensible language understanding systems. 72 - Robert Balzer, Neil M. Goldman, David Wile:
On the use of programming knowledge to understand informal process descriptions. 72-75 - Neil M. Goldman, Robert Balzer, David Wile:
The inference of domain structure from informal process descriptions. 75-76
- Frederick Hayes-Roth:
The role of partial and best matches in knowledge systems. 82 - Stanley J. Rosenschein:
The production system: architecture and abstraction. 82 - Steven W. Zucker:
Production systems with feedback. 82
- H. Penny Nii, Edward A. Feigenbaum:
Rule-based understanding of signals. 83 - David J. Mostow, Frederick Hayes-Roth:
A production system for speech understanding. 83 - Walter Reitman, Bruce Wilcox:
Pattern recognition and pattern-directed inference in a program for playing go. 83
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