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