1. Case-Based Reasoning System for Bearing Design A thesis Submitted to the Faculty of Drexel University by Xiaoli Qin in partial fulfillment of the requirements for the degree of Master of Science in Computer Science
Xiaoli Qin
Webpage:
Thesis Advisor/Committee Chair:
Dr. Regli, MCS
Committee Members:
Dr. Herrmann, MCS; Dr. Aktan, DIII
Dr. Greenwald, MCS; Dr. Tsikos, DIII

2. Case-Based Reasoning System for Bearing Design
Objective of Research
Overview Case-Based Reasoning Theory
Case-Based Reasoning System for Bearing Design
Problem Statements
Knowledge Representation Issue
Case-Based Reasoning Engine (Intelligent Reasoner)
Demo
Conclusions and Future Works

3. Objective of Researh
Develop a System which use Case-Based Reasoning techniques to solve design problems.
Develop Knowledge Representations and Case Memory Organizations for this system
Develop a Reasoning Sub-System to adapt retrieved cases automatically.
Develop a mechanism to achieve system Learning.

4. Case-Based Reasoning Background
What is Case-Based Reasoning(CBR) ?
Case-Based Reasoning is reasoning by remembering. (Cognitive Model, Psychology, Simulate human reasoning methods)
A Case-Based Reasoner solves new problems by adapting solutions that were used to solve old problems. (System Implementation, Computational/Process Model)
Case-Based Reasoning is a recent approach to problem solving and learning. (Computational /Process Model)

5. Case-Based Reasoning (Background)
A methodology to model human reasoning and thinking.
A methodology for building intelligent computer system.
“I have but one lamp by which my feet are guided, and that is the lamp of experience. I know no way of judging the future but by past.” Patrick Henry (Speech in Virginia Convention, Richmond. March 23, 1775)

6. CBR versus Rule-Based Systems
Knowledge space for engineering design problem is incomplete and dynamic !
Rule-Based System is suitable for situations like:
Knowledge is incomplete, uncertain (Difficult to abstract rules, Knowledge Acquisition Bottleneck)
Rules space is large (infinite) (rule spaghetti, hard to maintain)
Case-Based System is good at above situations.

7. History of Case-Based Reasoning (Background)
, Yale University, Roger Schank
Focus: Cognitive Science
Theory: Memory Organization Packet (MOP)
Product: JUDGE, SWALE, CHEF
, U. of Mass., Edwina Rissland
Focus: CBR in Law
Product: HYPO and CABARET
1990-now, CMU, Jaime Carbonell
Focus: Analogy/CBR
Case-Based planing using analogy

8. History of Case-Based Reasoning (Background)
, U. of Kaiserslautern, Germany, Michael M. Richter
Focus: CBR for Expert system, Technical Diagnosis (Mechanical, Building, Bridge)
1990-now, Enric Plaza, Spain
Focus: Medical Diagnosis
1991-now, U. of Trondheim, Norway
Focus: Integration of Cases and general knowledge