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AI Communications ---The European Journal of Artificial Intelligence, 9 (3) 1996, pp. 109116 Relating CaseBased Problem Solving and Learning Methods
 

Summary: AI Communications --- The European Journal of Artificial Intelligence, 9 (3) 1996, pp. 109­116
Relating Case­Based Problem Solving and Learning Methods
to Task and Domain Characteristics:
Towards an Analytic Framework
Klaus­Dieter Althoff
Centre for Learning Systems and Applications
Department of Computer Science
University of Kaiserslautern
D­67653 Kaiserslautern, Germany
email: althoff@informatik.uni­kl.de
Agnar Aamodt
Department of Informatics
College of Arts and Science
University of Trondheim
N­7055 Dragvoll, Norway
email: agnar.aamodt@ifi.unit.no
Abstract
A particular strength of case­based reasoning (CBR) over most other methods is its inherent
combination of problem solving with sustained learning through problem solving experience. This is
therefore a particularly important topic of study, and an issue that has now become mature enough

  

Source: Aamodt, Agnar - Department of Computer and Information Science, Norwegian University of Science and Technology

 

Collections: Computer Technologies and Information Sciences