Expert systems: principles and case studies
Expert systems: principles and case studies
A guide to expert systems
Building expert systems
Knowledge acquisition for expert systems
Knowledge acquisition for expert systems
AI Magazine
Expert systems: tools and applications
Expert systems: tools and applications
Expert systems for experts
Expert systems: knowledge, uncertainty, and decision
Expert systems: knowledge, uncertainty, and decision
Knowledge acquisition: principles and guidelines
Knowledge acquisition: principles and guidelines
Expert systems: how far can they go? part one
AI Magazine
Expert systems: how far can they go? part two
AI Magazine
On interface requirements for expert systems
AI Magazine
Developing and managing expert systems: proven techniques for business and industry
Developing and managing expert systems: proven techniques for business and industry
Expert Systems Programming
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
Artificial Intelligence and the Design of Expert Systems
Artificial Intelligence and the Design of Expert Systems
Knowledge Acquisition for Knowledge-Based Systems
Knowledge Acquisition for Knowledge-Based Systems
Expert Systems
GATES: An Airline Gate Assignment and Tracking Expert System
IEEE Expert: Intelligent Systems and Their Applications
An Explanation Facility for Today's Expert Systems
IEEE Expert: Intelligent Systems and Their Applications
Learning in an Introductory Expert Systems Course
IEEE Expert: Intelligent Systems and Their Applications
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
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Because expert systems technology is relatively new, there are only a few papers describing a graduate course on the subject. Most of the described courses were either seminar oriented or centered around a student project, but did not have a complete coverage of the major topics. This paper describes the teaching of a graduate expert system course that has a relatively complete coverage of the subject area. Other additional features of the course include incremental development of the student projects, emphasis on evaluations of tools and projects, as well as using more conventional problems for strengthening expert system shell programming techniques.