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SIGART Newsletter, Volume 108
Volume 108, April 1989
- 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, Ramón 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 Bartlett, 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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