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Mapping Goals and Kinds of Explanations to the Knowledge Containers of Case-Based Reasoning Systems

  • Thomas R. Roth-Berghofer
  • Jörg Cassens
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3620)

Abstract

Research on explanation in Case-Based Reasoning (CBR) is a topic that gains momentum. In this context, fundamental issues on what are and to which end do we use explanations have to be reconsidered. This article presents a prelimenary outline of the combination of two recently proposed classifications of explanations based on the type of the explanation itself and user goals which should be fulfilled. Further on, the contribution of the different knowledge containers for modeling the necessary knowledge is examined.

Keywords

Expert System Mapping Goal Conceptual Explanation Seat Post Cognitive Explanation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Thomas R. Roth-Berghofer
    • 1
    • 2
  • Jörg Cassens
    • 3
  1. 1.Knowledge-Based Systems Group, Department of Computer ScienceUniversity of KaiserslauternKaiserslautern
  2. 2.Knowledge Management DepartmentGerman Research Center for Artificial Intelligence DFKI GmbHKaiserslauternGermany
  3. 3.Department of Computer and Information Science (IDI)Norwegian University of Science and Technology (NTNU)TrondheimNorway

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