Volume 108, April 1989
Special issue on knowledge acquisition
- Marianne LaFrance:
The quality of expertise: implications of expert-novice differences for knowledge acquisition.
6-14

- Nigel Shadbolt, A. Mike Burton:
The empirical study of knowledge elicitation techniques.
15-18

- Robert R. Hoffman:
A survey of methods for eliciting the knowledge of experts.
19-27

- Pauline F. Micciche, Juliana S. Lancaster:
Application of neurolinguistic techniques to knowledge acquisition.
28-33

- Steven R. LeClair:
Interactive learning: a multiexpert paradigm for acquiring new knowledge.
34-44

- Mark A. Musen:
Knowledge acquisition at the metalevel: creation of custom-tailored knowledge-acquisition tools.
45-55

- Linda L. Rodi, Jonathan A. Pierce, Robert E. Dalton:
Putting the expert in charge: graphical knowledge acquisition for fault diagnosis and repair.
56-62

- Nada Lavrac, Igor Mozetic:
Methods for knowledge acquisition and refinement in second generation expert systems.
63-69

- J. Bradley, Karan Harbison-Briggs:
The symptom-component approach to knowledge acquisition.
70-76

- Joel D. Martin, Michael Redmond:
Acquiring knowledge by explaining observed problem solving.
77-83

- Murali Krishnamurthi, Alvin J. Underbrink Jr.:
Knowledge acquisition in a machine fault diagnosis shell.
84-92

- D. J. H. Brown:
A knowledge acquisition tool for decision support systems.
93-97

- Enric Plaza, Ramon López de Mántaras:
Model-based knowledge acquisition for heuristic classification systems.
98-105

- Bay Arinze:
A natural language front-end for knowledge acquisition.
106-114

- Paola Velardi, Maria Teresa Pazienza, Stefano Magrini:
Acquisition of semantic patterns from a natural corpus of texts.
115-123

- Katharina Morik:
Integration issue in knowledge acquisition systems.
124-131

- Barbara Brown:
The taming of an expert: an anecdotal report.
133-135

- Tracy L. Wells:
Hypertext as a means for knowledge acquisition.
136-138

- Walter A. Wolf:
Knowledge acquisition from multiple experts.
138-140

- Danny Kopec, Larry Latour, Michael Brody:
Towards an expert/novice learning system with application to infectious disease.
140-143

- Vincent R. Waldron:
Investigating the communication problems encountered in knowledge acquisition.
143-144

- Beth Crandall:
A comparative study of think-aloud and critical decision knowledge elicitation methods.
144-146

- Kenneth M. Ford, Frederick E. Petry:
Knowledge acquisition from repertory grids using a logic of confirmation.
146-147

- Thomas R. Gruber, Paul R. Cohen:
The design of an automated assistant for acquiring strategic knowledge.
147-151

- L. F. Pau, S. Skafte Nielsen:
Conceptual graphs as a visual language for knowledge acquisition in architectural expert systems.
151

- Juliana S. Lancaster, Christopher R. Westphal, Karen L. McGraw:
A cognitively valid knowledge acquisition tool.
152-154

- J. E. Caviedes, M. K. Reed:
ViewPoint: a troubleshooting-specific knowledge acquisition tool.
155

- Hyungmin Michael Chung:
Empirical analysis of inductive knowledge acquisition methods.
156-159

- Frank H. Merrem:
Automatic generation of knowledge structures.
160-162

- Jacek Malec:
Knowledge elicitation during dynamic scene description.
162-163

- Charles Kellogg, Robert A. Gargan Jr., William S. Mark, James McGuire, Michael Pontecorvo, Jon Schlossberg, Joseph W. Sullivan, Michael R. Genesereth, Narinder Singh:
The acquisition, verification, and explanation of design knowledge.
163-165

- Andrew J. Kornecki:
Operational knowledge acquisition problems for air traffic expert controller.
165-166

- Tetsuo Kinoshita:
A knowledge acquisition model with applications for requirements specification and definition.
166-168

- Mildred L. G. Shaw:
A grid-based tool for knowledge acquisition: validation with multiple experts.
168-169

- Harley R. Myler, Avelino J. Gonzalez:
Automated design data capture using relaxation techniques.
169-170

- Barry G. Silverman, R. Gregory Wenig, Tricia Wu:
Coping with ongoing knowledge acquisition from collaborating hierarchies of experts.
170-171

- Seiji Yamada, Saburo Tsuji:
Acquisition of macro-operators from worked examples in problem solving.
171-172

- Lee A. Becker, Ron Barlett, Fardin Soroushian:
Using simulation to compile diagnostic rules from a manufacturing process representation.
172-173

- Brian M. Slator:
Extracting lexical knowledge from dictionary text.
173-174

- Leona F. Fass:
Learnability of CFLs: inferring syntactic models from constituent structure.
175-176

- Suresh Subramanian, Eugene C. Freuder:
Compiling rules from constraint satisfaction problem solving.
177-178

- Marion R. Finley Jr., Evelyne B. Hausen-Tropper:
A system for the representation of theorems and proofs.
178-179

- Peter F. Patel-Schneider:
Book Review: Non-Standard Logics for Automated Reasoning by P. Smets, E. H. Mamdani, D. Dubois, and H. Prade (Academic Press).
215-216

- Susanne M. Humphrey:
The elucidation of non-monoTONous reasoning and related notions in artificial intelligence.
216-217

- Susanne M. Humphrey, Bob Krovetz:
Selected AI-Related Dissertations.
217-226

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