Buch, Englisch, 260 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
First Joint Workshop, Kaiserslautern, Germany, February 21-22,1991. Proceedings
Buch, Englisch, 260 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-55711-1
Verlag: Springer Berlin Heidelberg
This book has its source in the question of whether any
knowledge engineering tools can be applied or analyzed in
cognition research and what insights and methods of
cognitive science might be relevant for knowledge engineers.
It presents the proceedings of a workshop organized by the
Special Interest Groups Cognition and Knowledge Engineering
of the German Society for Informatics, held in February 1992
in Kaiserslautern.
The book is structured into three parts. The first part
contrasts work in knowledge engineering with approaches from
the side of the "soft sciences". The second part deals with
case-based approaches in expert systems. Cognition research
and the cognitive adequacy of expert systems are discussed
in the third part. Contributions from Canada, England,
France, Switzerland, and the USA demonstrate how knowledge
engineering and cognitive science are woven together
internationally.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Relations between knowledge engineering and cognitive science: From import/export to a truly interdisciplinary knowledge acquisition enterprise.- Making application programming more worthwhile.- Using information technology to solve real world problems.- Facts, fantasies and frameworks: the design of a knowledge acquisition workbench.- Mapping expert behavior onto task-level frameworks: The need for “Eco-pragmatic” approaches to knowledge engineering.- Knowledge acquisition and the interpretative paradigm.- Case-based reasoning and model-based knowledge-acquisition.- The refitting of plans by a human expert.- Knowledge acquisition by generating skeletal plans from real world cases.- Knowledge acquisition from cases.- Transforming examples into cases.- Case-based reasoning and expert system development.- The role of cognitive science in knowledge engineering.- Knowledge acquisition as an empirically based modelling activity.- Shifting positions: Moving from a cognitive science point of view to a knowledge engineering stance.- Two questions from expert system developers to cognitive scientists.- The cognitive basis of knowledge engineering.- A comparative assessment of selected approaches in the focal area of knowledge engineering and cognition.
