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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aamodt, A., Plaza, E.: Case-based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Artif. Intell. Comm. 7(1), 39–59 (1994)
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
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)
Craw, S., Wiratuga, N., Rowe, R.C.: Learning Adaptation Knowledge to Improve Casebased Reasoning. J. Artif. Intell. 170, 1175–1192 (2006)
Dubois, D., Prade, H.: Similarity-Based Approximate Reasoning. Computational Intelligence: Imitating life, pp. 69–80. IEEE Press, New York (1994)
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)
Finnie, G., Sun, Z.: Similarity and Metrics in Case-based Reasoning. Int. J. Intell. Syst. 17(3), 273–287 (2002)
Finnie, G., Sun, Z.: R 5 Model for Case-based Reasoning. Knowledge-based Syst. 16(1), 59–65 (2003)
Finnie, G., Sun, Z.: A Logical Foundation for the CBR Cycle. Int. J. Intell. Syst. 18(4), 367–382 (2003)
Kolodner, J.: Case Based Reasoning. Morgan Kaufmann, San Mateo (1993)
Leake, D.: Case-Based Reasoning: Experiences, Lessons & Future Direction. AAAI Press/MIT Press, Menlo Park (1996)
Lenz, M., Bartsch-Spörl, B., Burkhard, H.D., Wess, S. (eds.): Case-Based Reasoning Technology, from Foundations to Applications. Springer, Berlin (1998)
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)
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)
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)
Nilsson, N.J.: Artificial Intelligence: A New Synthesis. Morgan Kaufmann Publishers, San Francisco (1998)
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)
Pan, R., Yang, Q., Pan, S.J.: Mining Competent Case Bases for Case-based Reasoning. Artif. Intell. 171, 1039–1068 (2007)
Pal, S.K., Shiu, S.C.K.: Foundations of Soft Case-Based Reasoning. John Wiley & Sons, Hoboken (2004)
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)
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)
Shank, R.: Dynamic Memory: A Theory of Learning in Computers and People. Cambridge University Press, New York (1982)
Sun, Z., Finnie, G.: A fuzzy Logic Approach to Experience Based Reasoning. Int. J. Intell. Syst. 22(8), 867–889 (2007)
Sun, Z., Finnie, G.: Intelligent Techniques in E-Commerce: A Case-based Reasoning Perspective. Springer, Heidelberg (2004)
Sun, Z., Finnie, G.: A Unified Logical Model for CBR-based E-commerce Systems. Int. J. Intell. Syst. 20(1), 29–46 (2005)
Watson, I.: An Introduction to Case-based Reasoning. In: Watson, I. (ed.) Progress in Casebased Reasoning, pp. 3–16. Springer, Berlin (1995)
Ullman, J.D., Widom, J.: A First Course in Database Systems, 2nd edn. Prentice Hall, Englewood Cliffs (2002)
Weiss, G. (ed.): Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. The MIT Press, Cambridge (1999)
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)
Zimmermann, H.J.: Fuzzy set theory and its application. Kluwer, Boston (1991)
http://www.ai-cbr.org/biblio/Hybrid%20CBR.html (accessed April 06, 2008)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)