Podcast
Questions and Answers
Which of the following best describes Case-Based Reasoning (CBR)?
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?
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?
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?
What makes CBR fundamentally different from other major AI approaches?
What is one of the benefits of using CBR for experts?
What is one of the benefits of using CBR for experts?
Flashcards
Case-Based Reasoning (CBR)
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
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
Cases in CBR
Detailed records of past situations, including problems, solutions, and outcomes.
CBR's Unique Feature
CBR's Unique Feature
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Benefit for Experts
Benefit for Experts
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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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