Contemporary Knowledge Engineering and Cognition: First Joint Workshop, Kaiserslautern, Germany, February 21-22,1991. Proceedings

ISBN-13: 9783540557111 / Angielski / Miękka / 1992 / 260 str.

Franz Schmalhofer;Gerhard Strube;Thomas Wetter

Opis

This book has its source in the question of whether anyknowledge engineering tools can be applied or analyzed incognition research and what insights and methods ofcognitive science might be relevant for knowledge engineers.It presents the proceedings of a workshop organized by theSpecial Interest Groups Cognition and Knowledge Engineeringof the German Society for Informatics, held in February 1992in Kaiserslautern.The book is structured into three parts. The first partcontrasts work in knowledge engineering with approaches fromthe side of the "soft sciences." The second part deals withcase-based approaches in expert systems. Cognition researchand the cognitive adequacy of expert systems are discussedin the third part. Contributions from Canada, England, France, Switzerland, and the USA demonstrate how knowledgeengineering and cognitive science are woven togetherinternationally.

Spis treści

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.