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European Conference on Case-Based Reasoning

ECCBR 2006: Advances in Case-Based Reasoning pp 429–442Cite as

Case Factory – Maintaining Experience to Learn

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4106))

Abstract

In this paper, we outline our vision of a case factory that deals with developing (future) knowledge-based systems. The functionality of such a system is provided by different kinds of agents. We focus especially on case-based-reasoning agents, which play an important part within our vision and the corresponding architecture. Our method of constructing a case-based reasoning system using agents is based on integration with the experience factory approach. We define a single architecture adopting ideas from the concept of software product-lines with a focus on combining technical and organizational knowledge. Finally, the paper closes with a brief overview of the current state of our work and a conceptual evaluation of its components with respect to related work.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Intelligent Information Systems Lab, University of Hildesheim, Marienburger Platz 22, 31141, Hildesheim, Germany

    Klaus-Dieter Althoff, Alexandre Hanft & Martin Schaaf

Authors
  1. Klaus-Dieter Althoff
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  2. Alexandre Hanft
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  3. Martin Schaaf
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Editor information

Editors and Affiliations

  1. Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Trippstadter Straße 122, 67663, Kaiserslautern, Germany

    Thomas R. Roth-Berghofer

  2. PricewaterhouseCoopers LLP, Center for Advanced Research, Ten Almaden Blvd, Suite 1600, 95113, San Jose, CA

    Mehmet H. Göker

  3. Department of Computer Engineering, Bilkent University, 06800, Ankara, Turkey

    H. Altay Güvenir

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© 2006 Springer-Verlag Berlin Heidelberg

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Althoff, KD., Hanft, A., Schaaf, M. (2006). Case Factory – Maintaining Experience to Learn. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds) Advances in Case-Based Reasoning. ECCBR 2006. Lecture Notes in Computer Science(), vol 4106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11805816_32

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  • DOI: https://doi.org/10.1007/11805816_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36843-4

  • Online ISBN: 978-3-540-36846-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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