Knowledge Management Chapter 09

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Chapter 9

Using Past History Explicitly as Knowledge: Case-Based Reasoning Systems
Becerra-Fernandez, et al. -- Knowledge Management 1/e -- © 2004 Prentice Hall Additional material © 2008 Dekai Wu

Chapter Objectives
• Introduce the student to the concept of using explicit historical occurrences to solve current problems.
 Explained in the context of rule-based systems that also use past experience to solve current problems

• Introduce case-based reasoning. • Introduce how case-based systems can learn from their own experience

Becerra-Fernandez, et al. -- Knowledge Management 1/e -- © 2004 Prentice Hall / Additional material © 2008 Dekai Wu

Weaknesses of rule-based systems
• Weaknesses of rule-based systems that inspired the rise of case-based reasoning:
 Experts may not be able to externalize their experience into clean bits of knowledge that can be encoded into rules
 Their knowledge is an accumulation and a combination of years of being exposed to many instances of similar problems (and their subsequent solutions)

Becerra-Fernandez, et al. -- Knowledge Management 1/e -- © 2004 Prentice Hall / Additional material © 2008 Dekai Wu

Weaknesses of rule-based systems
• To manage the knowledge of experts, we must:
 Elicit it from the expert  Represent or formalize it in a form suitable for computing  Validate and verify the knowledge

• All these contain pitfalls for the rule-based systems approach

Becerra-Fernandez, et al. -- Knowledge Management 1/e -- © 2004 Prentice Hall / Additional material © 2008 Dekai Wu

Weaknesses of rule-based systems
• Q. Why may rule-based systems have difficulty with eliciting, representing, and validating knowledge from the expert? • A1. Results vary depending on which expert
 It is the experts’ personal interpretation of the domain  Some experts are very knowledgeable, others only minimally…...

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