Buch, Englisch, Band 867, 424 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1340 g
8th European Knowledge Acquisition Workshop, EKAW'94, Hoegaarden, Belgium, September 26 - 29, 1994. Proceedings
Buch, Englisch, Band 867, 424 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1340 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-58487-2
Verlag: Springer Berlin Heidelberg
The book demonstrates that work in the mainstream of knowledge acquisition leads to useful practical results and puts the knowledge acquisition enterprise in a broader theoretical and technological context. The 21 revised full papers are carefully selected key contributions; they address knowledge modelling frameworks, the identification of generic components, methodology aspects, and architectures and applications. The volume opens with a substantial preface by the volume editors surveying the contents.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
CML: The commonKADS conceptual modelling language.- Evaluating a formal modelling language.- A comparison of two approaches to model-based knowledge acquisition.- Agent-based knowledge acquisition.- Beyond the knowledge level: Descriptions of rational behavior for sharing and reuse.- Local patching produces compact knowledge bases.- Components of problem solving and types of problems.- On a role of problem solving methods in knowledge acquisition.- Modeling plan recognition for decision support.- CUE: Ontology based knowledge acquisition.- KARO: An integrated environment for reusing ontologies.- From verification to modelling guidelines.- AFORIZM approach: Creating situations to facilitate expertise transfer.- How to combine data abstraction and model refinement: A methodological contribution in MACAO.- User centered knowledge-based system design: a formal modelling approach.- Validating at early stages with a causal simulation tool.- The SBF framework, 1989–1994: From applications to workplaces.- Applying the REKAP methodology to situation assessment.- Integration of learning into a knowledge modelling framework.- Knowledge level model of a configurable learning system.- Reflective, self-adaptive problem solvers.