Mastering Case-Based Reasoning (CBR)

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Questions and Answers

Which of the following best describes Case-Based Reasoning (CBR)?

  • A problem solving paradigm that makes associations along generalized relationships
  • A problem solving paradigm that relies solely on general knowledge
  • A methodology for deriving knowledge and inferences from historical cases (correct)
  • A methodology for formalizing domain knowledge

What are the advantages of using CBR?

  • System development time is slower
  • Knowledge acquisition is improved (correct)
  • Complete formalized domain knowledge is required
  • Experts feel uncomfortable discussing concrete cases

What is the definition of cases in CBR?

  • Stories with rich information and episodes (correct)
  • Generalized relationships in a problem domain
  • Formalized domain knowledge
  • Inferences derived from historical cases

What makes CBR fundamentally different from other major AI approaches?

<p>It relies on historical cases instead of general knowledge (C)</p> Signup and view all the answers

What is one of the benefits of using CBR for experts?

<p>Experts feel better discussing concrete cases (A)</p> Signup and view all the answers

Flashcards

Case-Based Reasoning (CBR)

A problem-solving approach that uses past experiences, stored as cases, to find solutions to new similar problems.

Advantage of CBR: Knowledge Acquisition

CBR allows experts to readily share their knowledge by providing examples, creating a more efficient knowledge acquisition process.

Cases in CBR

Detailed records of past situations, including problems, solutions, and outcomes.

CBR's Unique Feature

Unlike other AI methods, CBR is grounded in real-world experiences and doesn't rely on abstract rules or general knowledge.

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Benefit for Experts

CBR makes it easier for experts to participate in knowledge capture as they feel more comfortable discussing specific instances.

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Study Notes

Case-Based Reasoning (CBR)

  • Case-Based Reasoning is an AI methodology that solves new problems based on solutions from previously encountered cases.
  • CBR emphasizes the reuse of past experiences rather than relying solely on rules or knowledge bases.

Advantages of CBR

  • Provides a natural way to incorporate experiential knowledge into problem-solving processes.
  • Can handle incomplete information effectively by referencing similar cases.
  • Enhances learning over time as more cases are accumulated, improving system performance.

Definition of Cases in CBR

  • In CBR, a case consists of a specific instance of a problem along with the corresponding solution and relevant context.
  • Each case is typically structured to include problem description, solution, and outcome, along with any additional pertinent information.

Fundamental Differences from Other AI Approaches

  • Unlike traditional rule-based systems that follow fixed algorithms, CBR relies on dynamic problem solving through experience.
  • CBR focuses on context and similarity rather than abstraction, making it more adaptable in real-world scenarios.

Benefits of CBR for Experts

  • Supports experts by allowing them to leverage past solutions, saving time and enhancing decision-making.
  • Facilitates knowledge sharing and collaboration, as experts can easily access and utilize the collective experiences embedded in cases.

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