Skip to main content

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

  • Conference paper
Case-Based Reasoning Research and Development (ICCBR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3620))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Schank, R.C.: Explanation Patterns: Understanding Mechanically and Creatively. Lawrence Erlbaum Associates, Hillsdale (1986)

    Google Scholar 

  2. Spieker, P.: Natürlichsprachliche Erklärungen in technischen Expertensystemen. Dissertation, University of Kaiserslautern (1991)

    Google Scholar 

  3. Cohnitz, D.: Explanations are like salted peanuts. In: Beckermann, A., Nimtz, C. (eds.) Proceedings of the Fourth International Congress of the Society for Analytic Philosophy (2000), http://www.gap-im-netz.de/gap4Konf/Proceedings4/titel.htm (last access: 2004-08-11)

  4. Leake, D.B.: Goal-Based Explanation Evaluation. In: Goal-Driven Learning, pp. 251–285. MIT Press, Cambridge (1995)

    Google Scholar 

  5. Swartout, W.: What Kind of Expert Should a System be? XPLAIN: A System for Creating and Explaining Expert Consulting Programs. Artificial Intelligence 21, 285–325 (1983)

    Article  Google Scholar 

  6. Buchanan, B.G., Shortliffe, E.H.: Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison Wesley, Reading (1984)

    Google Scholar 

  7. Swartout, W., Smoliar, S.: On Making Expert Systems More Like Experts. Expert Systems 4, 196–207 (1987)

    Article  Google Scholar 

  8. Leake, D.B. (ed.): Case-Based Reasoning: Experiences, Lessons, & Future Directions. AAAI Press/MIT Press, Menlo Park (1996)

    Google Scholar 

  9. Schank, R.C., Kass, A., Riesbeck, C.K. (eds.): Inside Case-Based Explanation. Lawrence Erlbaum Associates, Hillsdale (1994)

    Google Scholar 

  10. Gregor, S., Benbasat, I.: Explanations From Intelligent Systems: Theoretical Foundations and Implications for Practice. MIS Quarterly 23, 497–530 (1999)

    Article  Google Scholar 

  11. Swartout, W.R., Moore, J.D.: Explanation in second generation expert systems. In: David, J., Krivine, J., Simmons, R. (eds.) Second Generation Expert Systems, pp. 543–585. Springer, Berlin (1993)

    Google Scholar 

  12. Gervás, P., Gupta, K.M.: Proceedings of the ECCBR 2004 Workshops. Number 142-04 in Technical Report, Madrid, Departamento de Sistemas Informáticos y Programación, Universidad Complutense Madrid (2004)

    Google Scholar 

  13. Funk, P., Calero, P.A.G. (eds.): Advances in Case-Based Reasoning: Proceedings ECCBR 2004. LNCS (LNAI), vol. 3155. Springer, Berlin (2004)

    Google Scholar 

  14. Richter, M.M.: Remarks on current explanation research in artificial intelligence, Personal notes (2005)

    Google Scholar 

  15. Latour, B.: Technology is Society made Durable. In: Law, J. (ed.) A Sociology of Monsters, pp. 103–131. Routledge, New York (1991)

    Google Scholar 

  16. Monteiro, E.: Actor-Network Theory. In: Ciborra, C. (ed.) From Control to Drift, pp. 71–83. Oxford University Press, Oxford (2000)

    Google Scholar 

  17. Pieters, W.: Free Will and Intelligent Machines. Project Report, NTNU Trondheim (2001)

    Google Scholar 

  18. Lee, J.D., See, K.A.: Trust in Automation: Designing for Appropriate Reliance. Human Factors 46, 50–80 (2004)

    Google Scholar 

  19. Ye, L.R., Johnson, P.E.: The impact of explanation facilities on user acceptance of expert systems advice. MIS Q 19, 157–172 (1995)

    Article  Google Scholar 

  20. Richter, M.M.: The knowledge contained in similarity measures. In: Aamodt, A., Veloso, M.M. (eds.) ICCBR 1995. LNCS, vol. 1010, Springer, Heidelberg (1995) (invited talk)

    Google Scholar 

  21. Richter, M.M.: Prinzipien der Künstlichen Intelligenz, 2nd edn. B.G. Teubner, Stuttgart (1992)

    Google Scholar 

  22. Sørmo, F., Cassens, J.: Explanation goals in case-based reasoning. In: [12], pp. 165–174

    Google Scholar 

  23. Sørmo, F., Cassens, J., Aamodt, A.: Explanation in Case-Based Reasoning – Perspectives and Goals (2005) (to be published)

    Google Scholar 

  24. Clancey, W.J.: The epistemology of a rule-based expert system: A framework for explanation. Artificial Intelligence 20, 215–251 (1983)

    Article  Google Scholar 

  25. Mao, J.Y., Benbasat, I.: The Use of Explanations in Knowledge-Based System: Cognitive Perspectives and a Process-Tracing Analysis. Journal of Managment Information Systems 17, 153–179 (2000)

    Google Scholar 

  26. Roth-Berghofer, T.R.: Explanations and case-based reasoning: Foundational issues. In: Funk, P., Calero, P.A.G. (eds.) Advances in Case-Based Reasoning, pp. 389–403. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  27. Richter, M.M.: The knowledge contained in similarity measures. Invited Talk at the First International Conference on Case-Based Reasoning, ICCBR 1995, Sesimbra, Portugal (1995), http://wwwagr.informatik.uni-kl.de/lsa/CBR/Richtericcbr95remarks.html (last access: 2002-10-18)

  28. Lenz, M., Bartsch-Spörl, B., Burkhard, H.D., Wess, S.: Case-Based Reasoning Technology: From Foundations to Applications. LNCS (LNAI), vol. 1400. Springer, Berlin (1998)

    Book  Google Scholar 

  29. Watson, I.: Survey of CBR application areas. Invited Talk at the 3rd International Conference on Case-Based Reasoning ICCBR (1999)

    Google Scholar 

  30. Richter, M.M.: Generalized planning and information retrieval. Technical report, University of Kaiserslautern, Artificial Intelligence – Knowledge-based Systems Group (1997)

    Google Scholar 

  31. Cassens, J.: Knowing what to explain and when. In: [12], 97–104

    Google Scholar 

  32. Roth-Berghofer, T.R.: Knowledge Maintenance of Case-Based Reasoning Systems – The SIAM Methodology. In: Dissertationen zur Künstlichen Intelligenz, vol. 262. Akademische Verlagsgesellschaft Aka GmbH/IOS Press, Berlin (2003)

    Google Scholar 

  33. Aamodt, A.: Explanation-driven case-based reasoning. In: Stefan Wess, K.D.A., Richter, M. (eds.) Topics in Case-Based Reasoning. Springer, Berlin (1994)

    Google Scholar 

  34. Aamodt, A.: Knowledge-Intensive Case-Based Reasoning in CREEK. In: [13], pp. 1–15

    Google Scholar 

  35. Bergmann, R., Althoff, K.D., Breen, S., Göker, M., Manago, M., Traphöner, R., Wess, S.: Developing Industrial Case-Based Resoning Applications: The INRECA Methodology, 2nd edn. LNCS (LNAI), vol. 1612. Springer, Berlin (2003)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Roth-Berghofer, T.R., Cassens, J. (2005). Mapping Goals and Kinds of Explanations to the Knowledge Containers of Case-Based Reasoning Systems. In: Muñoz-Ávila, H., Ricci, F. (eds) Case-Based Reasoning Research and Development. ICCBR 2005. Lecture Notes in Computer Science(), vol 3620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536406_35

Download citation

  • DOI: https://doi.org/10.1007/11536406_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28174-0

  • Online ISBN: 978-3-540-31855-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics