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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5227))

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Abstract

This article examines case-based reasoning (CBR) from five dif ferent perspectives: cognitive, process-oriented, logical, intelligent, and hy brid perspective. These five perspectives cover the majority of CBR research and development and classify CBR into five categories consequently: Cog nitive CBR, process CBR, logical CBR, intelligent CBR and hybrid CBR. This article looks at each of these perspectives on CBR from a unified view point taking into account corresponding fundamentals, applications and re lated issues. The proposed approach can facilitate research and development of CBR and its applications.

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References

  1. Aamodt, A., Plaza, E.: Case-based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Artif. Intell. Comm. 7(1), 39–59 (1994)

    Google Scholar 

  2. Cunningham, P., Bergmann, R., Schmitt, S., Breen, S., Smyth, B.: Traphoener: Intelligent Support for Online Sales: The Websell Experience (2001), http://www.aic.nrl.navy.mil/papers/2001/AIC-01-003/ws3/ws3toc6.pdf

  3. Bergmann, R., Schmitt, S., Stahl, A.: Intelligent Customer Support for Product Selection with Case-based Reasoning. In: E-commerce and Intelligent Methods, pp. 322–341. Physica-Verlag, Heidelberg (2002)

    Google Scholar 

  4. Craw, S., Wiratuga, N., Rowe, R.C.: Learning Adaptation Knowledge to Improve Casebased Reasoning. J. Artif. Intell. 170, 1175–1192 (2006)

    Article  MATH  Google Scholar 

  5. Dubois, D., Prade, H.: Similarity-Based Approximate Reasoning. Computational Intelligence: Imitating life, pp. 69–80. IEEE Press, New York (1994)

    Google Scholar 

  6. Dubois, D., Esteva, F., Garcia, P., Godo, L., López de Màntaras, R., Prade, H.: Case-based Reasoning: A Fuzzy Approach. In: Ralescu, A.L., Shanahan, J.G. (eds.) Fuzzy Logic in Artificial Intelligence. IJCAI 1997 Workshop, pp. 69–80. Springer, Berlin (1999)

    Google Scholar 

  7. Finnie, G., Sun, Z.: Similarity and Metrics in Case-based Reasoning. Int. J. Intell. Syst. 17(3), 273–287 (2002)

    Article  MATH  Google Scholar 

  8. Finnie, G., Sun, Z.: R 5 Model for Case-based Reasoning. Knowledge-based Syst. 16(1), 59–65 (2003)

    Article  Google Scholar 

  9. Finnie, G., Sun, Z.: A Logical Foundation for the CBR Cycle. Int. J. Intell. Syst. 18(4), 367–382 (2003)

    Article  MATH  Google Scholar 

  10. Kolodner, J.: Case Based Reasoning. Morgan Kaufmann, San Mateo (1993)

    Google Scholar 

  11. Leake, D.: Case-Based Reasoning: Experiences, Lessons & Future Direction. AAAI Press/MIT Press, Menlo Park (1996)

    Google Scholar 

  12. Lenz, M., Bartsch-Spörl, B., Burkhard, H.D., Wess, S. (eds.): Case-Based Reasoning Technology, from Foundations to Applications. Springer, Berlin (1998)

    Google Scholar 

  13. Luo, J., Shi, Z.P., He, Q., Shi, Z.Z.: A Quick Emergency Response Plan Generation System Combining CBR and RBR (in Chinese). J. Computer R & D 44(4), 660–666 (2007)

    Article  Google Scholar 

  14. Novais, P., Brito, L., Neves, J.: Agreement in Virtual Marketplaces with CBR-supported Negotiation. In: Proc. PAAM 2000- 5th Int. Conf. on the Practical Application of Intelligent Agents and Multiagents, Manchester, pp. 203–206 (2007)

    Google Scholar 

  15. Matos, N., Sierra, C.: Evolutionary Computing and Negotiating Agents. In: Noriega, P., Sierra, C. (eds.) AMET 1998 and AMEC 1998. LNCS (LNAI), vol. 1571, pp. 126–150. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  16. Nilsson, N.J.: Artificial Intelligence: A New Synthesis. Morgan Kaufmann Publishers, San Francisco (1998)

    MATH  Google Scholar 

  17. Olivia, C., Chang, C.F., Enguis, C.F., Ghose, A.K.: Case-based BDI Agents: AN Effective Approach for Intelligent Search on the World Wide Web. In: AAAI Spring Symposium on Intelligent Agents in Cyberspace, CA, pp. 20–27. AAAI Press, Menlo Park (1999)

    Google Scholar 

  18. Pan, R., Yang, Q., Pan, S.J.: Mining Competent Case Bases for Case-based Reasoning. Artif. Intell. 171, 1039–1068 (2007)

    Article  MathSciNet  Google Scholar 

  19. Pal, S.K., Shiu, S.C.K.: Foundations of Soft Case-Based Reasoning. John Wiley & Sons, Hoboken (2004)

    Google Scholar 

  20. Plaza, E., Esteva, F., Garcia, P., Godo, L., López de Màntaras, R.: A Logical Approach to Case-based Reasoning Using Fuzzy Similarity Relations. Info. Scie. 106, 105–122 (1996)

    Article  Google Scholar 

  21. Plaza, E., Ontañón, S.: Ensemble Case-based Reasoning: Collaboration Policies for Multiagent Cooperative CBR. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 437–451. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  22. Shank, R.: Dynamic Memory: A Theory of Learning in Computers and People. Cambridge University Press, New York (1982)

    Google Scholar 

  23. Sun, Z., Finnie, G.: A fuzzy Logic Approach to Experience Based Reasoning. Int. J. Intell. Syst. 22(8), 867–889 (2007)

    Article  MATH  Google Scholar 

  24. Sun, Z., Finnie, G.: Intelligent Techniques in E-Commerce: A Case-based Reasoning Perspective. Springer, Heidelberg (2004)

    MATH  Google Scholar 

  25. Sun, Z., Finnie, G.: A Unified Logical Model for CBR-based E-commerce Systems. Int. J. Intell. Syst. 20(1), 29–46 (2005)

    Article  Google Scholar 

  26. Watson, I.: An Introduction to Case-based Reasoning. In: Watson, I. (ed.) Progress in Casebased Reasoning, pp. 3–16. Springer, Berlin (1995)

    Google Scholar 

  27. Ullman, J.D., Widom, J.: A First Course in Database Systems, 2nd edn. Prentice Hall, Englewood Cliffs (2002)

    Google Scholar 

  28. Weiss, G. (ed.): Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. The MIT Press, Cambridge (1999)

    Google Scholar 

  29. Wilke, W., Lenz, M., Wess, S.: Intelligent sales support with CBR. In: Lenz, M., Bartsch-Spörl, B., Burkhard, H.D., Wess, S. (eds.) Case-based Reasoning: From Foundations to Applications, pp. 91–113. Springer, Berlin (1998)

    Google Scholar 

  30. Zimmermann, H.J.: Fuzzy set theory and its application. Kluwer, Boston (1991)

    Google Scholar 

  31. http://www.ai-cbr.org/biblio/Hybrid%20CBR.html (accessed April 06, 2008)

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De-Shuang Huang Donald C. Wunsch II Daniel S. Levine Kang-Hyun Jo

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© 2008 Springer-Verlag Berlin Heidelberg

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Sun, Z., Han, J., Dong, D. (2008). Five Perspectives on Case Based Reasoning. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_50

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  • DOI: https://doi.org/10.1007/978-3-540-85984-0_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85983-3

  • Online ISBN: 978-3-540-85984-0

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