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Knowledge Acquisition for Knowledge-Based Systems: 7th European Workshop, EKAW'93, Toulouse and Caylus, France, September 6-10, 1993. Proceedings: Lecture Notes in Computer Science, cartea 723

Editat de Nathalie Aussenac, Guy Boy, Brian Gaines, Jean-Gabriel Ganascia, Yves Kodratoff, Marc Linster
en Limba Engleză Paperback – 25 aug 1993
This volume constitutes the proceedings of the 7thEuropean Knowledge Acquisition Workshop (EKAW `93), held inToulouse and Caylus, France, in September 1993.Traditionally the EKAW workshops deal with the variousaspects of knowledge acquisition as a crucial topic inartificial intelligence as well as in computer science,engineering in general, and cognitive science. EKAW `93 hadist emphasis on knowledge acquisition for knowledge-basedsystems; besides the scientific workshop on the inter-disciplinary topic of knowledge acquisition there also wasoffered an open day as a users' forum open to the public.This proceedings contains the best papers presented at thescientific workshop after they had been selected by aninternational program committee consisting of leadingexperts in the field. The volume includes two surveys by GuyBoy and Brian Gaines and is divided in two main parts: thefirst part on problem solving models has sections onbuilding steps, support tools, and comparison of approaches;the second part on life cycle and methodologies is dividedin sections on refinement, methodologies, workbenches, andelicitation techniques.
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Specificații

ISBN-13: 9783540572534
ISBN-10: 3540572538
Pagini: 468
Ilustrații: XV, 453 p.
Dimensiuni: 216 x 279 x 25 mm
Greutate: 0.65 kg
Ediția:1993
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Modeling and extending expertise.- Knowledge acquisition in dynamic systems: How can logicism and situatedness go together?.- Steps in constructing problem solving methods.- Modelling artificial legal reasoning.- Systematic building of conceptual classification systems with C-KAT.- Making role-limiting shells more flexible.- A machine learning tool designed for a model-based knowledge acquisition approach.- Generic Tasks in KEW.- A review of Sisyphus 91 & 92: Models of problem-solving knowledge.- Heuristic control knowledge.- Model Construction in MIKE (Model based and Incremental Knowledge Engineering).- EXPECT: Intelligent support for knowledge base refinement.- CERISE: A cyclic approach for knowledge acquisition.- Personal construct psychology foundations for knowledge acquisition and representation.- Knowledge acquisition without analysis.- Acquisition and modelling of uncertain, incomplete and time-varying knowledge.- The emerging VITAL workbench.- MULTIS II: Enabling end-users to design problem-solving engines via two-level task ontologies.- The participatory design of a computer assisted knowledge engineering methodology and tool: The ALADIN+ Project.- Knowledge acquisition with visual functional programming.- Acquisition of gradual knowledge.- Acquisition and validation: from text to semantic network.