A Future for Knowledge Acquisition: 8th European Knowledge Acquisition Workshop, Ekaw '94, Hoegaarden, Belgium, September 26-29, 1994 : Proceedings
Luc Steels, Guus Schreiber, Walter Van de Velde
Abstract
Luc Steels, Guus Schreiber, Walter Van de Velde
Abstract
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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.
Key concepts: Computer science, Knowledge acquisition, Reuse, Ontology, Knowledge management, Abstraction, Knowledge integration, Software engineering