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Case Based Reasoning: A Powerful Tool for Representation and Reasoning

Jese Leos
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Published in Case Based Reasoning (Morgan Kaufmann In Representation Reasoning)
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Once the retrieval engine has found a set of similar cases, the adaptation engine is used to adapt the retrieved cases to the new problem. The adaptation engine uses a variety of techniques to adapt cases, including analogy, interpolation, and generalization.

Once the adapted cases have been generated, the evaluation engine is used to evaluate the solution generated by the adaptation engine. The evaluation engine uses a variety of techniques to evaluate solutions, including accuracy, precision, and recall.

CBR has a number of advantages over other problem-solving methods. First, CBR is able to solve problems that are difficult or impossible to solve using traditional methods. For example, CBR has been used to solve problems in medical diagnosis, legal reasoning, and financial planning.

Case Based Reasoning (Morgan Kaufmann in Representation Reasoning)
Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning)
by Janet Kolodner

4.7 out of 5

Language : English
File size : 88152 KB
Screen Reader : Supported
Print length : 668 pages

Second, CBR is able to learn from experience, so it can improve its performance over time. As CBR systems solve more problems, they are able to build up a larger case base of solved problems. This larger case base allows CBR systems to find more similar cases to new problems, which leads to better solutions.

Third, CBR is able to explain its solutions, which makes it easier for users to understand and trust. CBR systems can provide explanations of their solutions by showing the user the retrieved cases and the adaptation rules that were used to generate the solution.

CBR has been used successfully in a wide variety of applications, including:

CBR is a powerful tool that can be used to solve a wide variety of problems. It is a promising technology that has the potential to revolutionize the way we solve problems.

CBR is a powerful tool for representation and reasoning that has been used successfully in a wide variety of applications. It is a promising technology that has the potential to revolutionize the way we solve problems.

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  • Case-based Reasoning: A Powerful Tool for Representation and Reasoning
  • CBR systems use a case base of solved problems to solve new problems
  • CBR is able to learn from experience and improve its performance over time
  • CBR systems can explain their solutions, making them easier for users to understand and trust
  • CBR has been used successfully in a wide variety of applications, including medical diagnosis, legal reasoning, and financial planning

Case Based Reasoning (Morgan Kaufmann in Representation Reasoning)
Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning)
by Janet Kolodner

4.7 out of 5

Language : English
File size : 88152 KB
Screen Reader : Supported
Print length : 668 pages
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The book was found!
Case Based Reasoning (Morgan Kaufmann in Representation Reasoning)
Case-Based Reasoning (Morgan Kaufmann Series in Representation & Reasoning)
by Janet Kolodner

4.7 out of 5

Language : English
File size : 88152 KB
Screen Reader : Supported
Print length : 668 pages
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