This paper presents an overview of explanation-based learning (EBL) where the descriptions of EBL methods are realized at the knowledge level. Knowledge level description is a proposal that emphasizes the knowledge content and usage and abstracts away implementation details. Analyzing six different EBL methods at the knowledge level it can be shown what is their shared structure and illuminates their differences in a common framework of description. To describe EBL we use the Components of Expertise (Steels 1991), a knowledge level methodology currently used to describe, analyze, and support the development of expert systems.Peer Reviewe
When explanation-based learning (EBL) is used for knowledge level learning (KLL), training examples ...
Existing prior domain knowledge represents a valuable source of information for image interpretation...
A number of experimental evaluations of explanation-based learning (EBL) have appeared in the liter...
"Explanation-Based learning" (EBl) is a technique by which an intelligent system can learn by observ...
The use of explanation-based learning as part of a larger knowledge compilation system for automatin...
The papers in this special issue cover a wide range, and represent many different conceptions of &qu...
A number of problems confront standard automatic programming methods. One problem is that the combi...
245 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Explanation-based learning (E...
290 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Explanation-based learning is...
The subject of this thesis is, broadly, knowledge elicitation for knowledge-based, or expert systems...
Ever since MYCIN introduced the idea of computer-based explanations to the artificial intelligence c...
Expertise constitutes the foundation of an organization\u27s ability to benefit from competitive and...
Ever since MYCIN introduced the idea of computer-based explanations to the artificial intelligence c...
Explanation facilities are considered essential in facilitating user interaction with knowledge-base...
Explanation facilities are considered essential in facilitating user interaction with knowledge-base...
When explanation-based learning (EBL) is used for knowledge level learning (KLL), training examples ...
Existing prior domain knowledge represents a valuable source of information for image interpretation...
A number of experimental evaluations of explanation-based learning (EBL) have appeared in the liter...
"Explanation-Based learning" (EBl) is a technique by which an intelligent system can learn by observ...
The use of explanation-based learning as part of a larger knowledge compilation system for automatin...
The papers in this special issue cover a wide range, and represent many different conceptions of &qu...
A number of problems confront standard automatic programming methods. One problem is that the combi...
245 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Explanation-based learning (E...
290 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.Explanation-based learning is...
The subject of this thesis is, broadly, knowledge elicitation for knowledge-based, or expert systems...
Ever since MYCIN introduced the idea of computer-based explanations to the artificial intelligence c...
Expertise constitutes the foundation of an organization\u27s ability to benefit from competitive and...
Ever since MYCIN introduced the idea of computer-based explanations to the artificial intelligence c...
Explanation facilities are considered essential in facilitating user interaction with knowledge-base...
Explanation facilities are considered essential in facilitating user interaction with knowledge-base...
When explanation-based learning (EBL) is used for knowledge level learning (KLL), training examples ...
Existing prior domain knowledge represents a valuable source of information for image interpretation...
A number of experimental evaluations of explanation-based learning (EBL) have appeared in the liter...