EAN: 9783031004346

SYNTHESIS LECTURES ON ARTIFICIAL INTELLIGENCE A...

Case-based reasoning is a methodology with a long tradition in artificial intelligence that
brings together reasoning and machine learning techniques to solve problems based on past
experiences or cases. Given a problem to be solved  reasoning involves the use of methods to
retrieve similar past cases in order to reuse their solution for the problem at hand. Once the
problem has been solved  learning methods can be applied to improve the knowledge based on past
experiences. In spite of being a broad methodology applied in industry and services  case-based
reasoning has often been forgotten in both artificial intelligence and machine learning books.
The aim of this book is to present a concise introduction to case-based reasoning providing the
essential building blocks for the design of case-based reasoning systems  as well as to bring
together the main research lines in this field to encourage students to solve current CBR
challenges.

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