Volume 108, April 1989 Special issue on knowledge acquisition
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- Marianne LaFrance:
The quality of expertise: implications of expert-novice differences for knowledge acquisition.
- Nigel Shadbolt, A. Mike Burton:
The empirical study of knowledge elicitation techniques.
- Robert R. Hoffman:
A survey of methods for eliciting the knowledge of experts.
- Pauline F. Micciche, Juliana S. Lancaster:
Application of neurolinguistic techniques to knowledge acquisition.
- Steven R. LeClair:
Interactive learning: a multiexpert paradigm for acquiring new knowledge.
- Mark A. Musen:
Knowledge acquisition at the metalevel: creation of custom-tailored knowledge-acquisition tools.
- Linda L. Rodi, Jonathan A. Pierce, Robert E. Dalton:
Putting the expert in charge: graphical knowledge acquisition for fault diagnosis and repair.
- Nada Lavrac, Igor Mozetic:
Methods for knowledge acquisition and refinement in second generation expert systems.
- J. Bradley, Karan Harbison-Briggs:
The symptom-component approach to knowledge acquisition.
- Joel D. Martin, Michael Redmond:
Acquiring knowledge by explaining observed problem solving.
- Murali Krishnamurthi, Alvin J. Underbrink Jr.:
Knowledge acquisition in a machine fault diagnosis shell.
- D. J. H. Brown:
A knowledge acquisition tool for decision support systems.
- Enric Plaza, Ramon López de Mántaras:
Model-based knowledge acquisition for heuristic classification systems.
- Bay Arinze:
A natural language front-end for knowledge acquisition.
- Paola Velardi, Maria Teresa Pazienza, Stefano Magrini:
Acquisition of semantic patterns from a natural corpus of texts.
- Katharina Morik:
Integration issue in knowledge acquisition systems.
- Barbara Brown:
The taming of an expert: an anecdotal report.
- Tracy L. Wells:
Hypertext as a means for knowledge acquisition.
- Walter A. Wolf:
Knowledge acquisition from multiple experts.
- Danny Kopec, Larry Latour, Michael Brody:
Towards an expert/novice learning system with application to infectious disease.
- Vincent R. Waldron:
Investigating the communication problems encountered in knowledge acquisition.
- Beth Crandall:
A comparative study of think-aloud and critical decision knowledge elicitation methods.
- Kenneth M. Ford, Frederick E. Petry:
Knowledge acquisition from repertory grids using a logic of confirmation.
- Thomas R. Gruber, Paul R. Cohen:
The design of an automated assistant for acquiring strategic knowledge.
- L. F. Pau, S. Skafte Nielsen:
Conceptual graphs as a visual language for knowledge acquisition in architectural expert systems.
- Juliana S. Lancaster, Christopher R. Westphal, Karen L. McGraw:
A cognitively valid knowledge acquisition tool.
- J. E. Caviedes, M. K. Reed:
ViewPoint: a troubleshooting-specific knowledge acquisition tool.
- Hyungmin Michael Chung:
Empirical analysis of inductive knowledge acquisition methods.
- Frank H. Merrem:
Automatic generation of knowledge structures.
- Jacek Malec:
Knowledge elicitation during dynamic scene description.
- 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.
- Andrew J. Kornecki:
Operational knowledge acquisition problems for air traffic expert controller.
- Tetsuo Kinoshita:
A knowledge acquisition model with applications for requirements specification and definition.
- Mildred L. G. Shaw:
A grid-based tool for knowledge acquisition: validation with multiple experts.
- Harley R. Myler, Avelino J. Gonzalez:
Automated design data capture using relaxation techniques.
- Barry G. Silverman, R. Gregory Wenig, Tricia Wu:
Coping with ongoing knowledge acquisition from collaborating hierarchies of experts.
- Seiji Yamada, Saburo Tsuji:
Acquisition of macro-operators from worked examples in problem solving.
- Lee A. Becker, Ron Barlett, Fardin Soroushian:
Using simulation to compile diagnostic rules from a manufacturing process representation.
- Brian M. Slator:
Extracting lexical knowledge from dictionary text.
- Leona F. Fass:
Learnability of CFLs: inferring syntactic models from constituent structure.
- Suresh Subramanian, Eugene C. Freuder:
Compiling rules from constraint satisfaction problem solving.
- Marion R. Finley Jr., Evelyne B. Hausen-Tropper:
A system for the representation of theorems and proofs.
- 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).
- Susanne M. Humphrey:
The elucidation of non-monoTONous reasoning and related notions in artificial intelligence.
- Susanne M. Humphrey, Bob Krovetz:
Selected AI-Related Dissertations.