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What is Case-Based Reasoning (CBR)

Handbook of Research on Teaching With Virtual Environments and AI
CBR is the process of solving problems based on previously solved similar problems (past cases). The use of computers enables a CBR system to build a continuously increasing “library” of past cases and to retrieve them for solving new problems.
Published in Chapter:
Computers and Artificial Intelligence in Future Education
Michael Voskoglou (Graduate Technological Educational Institute, Greece)
Copyright: © 2021 |Pages: 27
DOI: 10.4018/978-1-7998-7638-0.ch028
Abstract
This chapter focuses on the role computers and artificial intelligence could play for future education in our modern society of knowledge and globalization. The rapid industrial and technological development of the last 150 years has caused radical changes to the traditional human society. As a result, formal education at all levels, from elementary to tertiary, faces the great challenge of preparing students for the forthcoming era of a new but not yet well-known industrial revolution, characterized by the internet of things and energy and the cyber-physical systems controlled through it. It is concluded that it is unlikely for computers and other “clever” AI machines to replace teachers in the future, because all these devices were created and programmed by humans. It is therefore logical to accept that they will never be able to achieve the quality and independence of human thought. However, it is certain that the role of the teacher will dramatically change in future classrooms.
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More Results
Engineering of Experience Based Trust for E-Commerce
a reasoning paradigm based on previous experiences or cases. As a system, a case-based reasoner solves new problems by adapting solutions that were used to solve old problems (Sun & Finnie, 2004). CBR is also a special form for experience-based reasoning (Sun & Finnie, 2007).
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Case Based Web Services
CBR is a reasoning paradigm based on previous experiences or cases; that is, a CBR system solves new problems by adapting solutions that were used to successfully solve old problems. Therefore, CBR is a kind of experience based reasoning. Case-based management, case-based engineering and case-based computing are more general paradigms than CBR.
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Cross-Layer Optimization and Link Adaptation in Cognitive Radios
Is the process of solving new problems based on the solutions of similar previous problems.
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Use of Finite Markov Chains in Business Problems Involving Decision Making and Case-Based Reasoning
CBR is the process of solving problems based on the solutions of previously solved analogous problems (past cases). The use of computers enables a CBR system to preserve a continuously increasing “library” of past cases and to retrieve each time the suitable one for solving a new problem.
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Customer Decision Making in Web Services
CBR is a reasoning paradigm based on previous experiences or cases; that is, a CBR system solves new problems by adopting solutions that were used to successfully solve old problems. Therefore, CBR is a kind of experience based reasoning. Experience based reasoning is a more general computing paradigm than CBR. Case-based intelligence, case-based management, case-based engineering and case-based computing are future directions for CBR research and development.
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New Challenges for Education in the Forthcoming Era of the Fourth Industrial Revolution
CBR is the process of solving problems based on previously solved similar problems (past cases). The use of computers enables a CBR system to build a continuously increasing “library” of past cases and to retrieve them for solving new problems.
Full Text Chapter Download: US $37.50 Add to Cart
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