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, 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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