A practical guide to designing expert systems
A practical guide to designing expert systems
A guide to expert systems
The Knowledge Acquisition Grid: a method for training knowledge engineers
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems. Part 2
KITTEN: knowledge initiation and transfer tools for experts and novices
International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Accelerating the development of effective expertise through knowledge-based feedback
CQL '90 Proceedings of the conference on Computers and the quality of life
Pragmatic considerations for effective knowledge acquisition: the case of business expert systems
SIGBDP '90 Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems
Issues in knowledge acquisition
SIGBDP '90 Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems
How training and experience affect the benefits of autonomy in a dirty-bomb experiment
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Expert Systems with Applications: An International Journal
A three-level approach for analyzing user behavior in ongoing relationships
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: applications and services
Three way relationship of human-robot interaction
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
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Recognizing that the knowledge of experts is qualitatively and not just quantitatively different from the knowledge of novices is an important pre-requisite to conducting effective knowledge acquisition. This article reviews the current cognitive research on expertise and proposes seven ways in which the knowledge of experts is different from the knowledge of novices, including such aspects as underlying schema, goal-orientation, practical focus, categorical chunking, cognitive complexity, automaticity of expert problem solving, and finally, the episodic nature of expert memory. The paper concludes with an outline of several implications that follow from this research including showing why knowledge acquisition will remain problematic without knowledge of experts' knowledge, as well as making a number of specific suggestions for those who need to elicit expert knowledge for knowledge-based systems.