Early chapters - instructor presentations. Once you have background, students presentations:
- R1: an Expert in the Computer Systems Domain : pgs. 2-4, Chapters 3, 5, 14
- Expert Systems: Matching Techniques to Tasks: pgs. 88-109 and coursenotes
- Classification Problem Solving: A Tutorial from an AI Perspective : pgs. 110-118, Chapter 11, 12
- Abduction by Classification and Assembly : pgs. 119-130, Chapters 10, 11, 12,
* Demos of rule-based systems (Lab1)
* Demonstration of Smalltalk Generic Task Toolset:
- Prospector : pgs. 20-24, Chapters 3, 5
another short paper
- Where's the AI in Decision Trees: pgs 25-30
- Towards the Simulation of Clinical Cognition : PIP - pgs. 31-46, Chapter 6
- Design of a Program for Expert Diagnosis of Acid Base and Electrolyte Disturbances: ABEL - pgs. 47-87, Chapter 11, 12, 13
- Doing R1 With Style: pgs. 5-19, Chapter 14
- An Approach to Expert Systems For Mechanical Design : pgs. 131-145, Chapter 14, 15, 16
- Boeing Blackboard System: pgs. 146-163, Chapter 18
- Hearsay-III: A Domain-Independent Framework for Expert Systems
and The Design and an Example Use of Hearsay-IIIChapter 18
* Demos of Lab 2: