Table of Contents
Advances in Artificial Intelligence
Volume 2011, Article ID 374250, 15 pages
http://dx.doi.org/10.1155/2011/374250
Research Article

NEST: A Compositional Approach to Rule-Based and Case-Based Reasoning

1Department of Information and Knowledge Engineering, University of Economics, W. Churchill Square 4, 130 67 Prague 3, Czech Republic
2Centre of Biomedical Informatics, Institute of Computer Science of the Academy of Sciences, Pod Vodarenskou vezi 2, 182 07 Prague 8, Czech Republic

Received 10 December 2010; Revised 9 April 2011; Accepted 16 May 2011

Academic Editor: Weiru Liu

Copyright © 2011 Petr Berka. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. E. A. Feigenbaum, “Themes and case studies of knowledge engineering,” in Expert Systems in the Micro Electronic Age, D. Michie, Ed., Edinburgh University Press, Edinburgh, UK, 1979. View at Google Scholar
  2. E. H. Shortliffe, Computer-Based Medical Consultations: MYCIN, Elsevier, New York, NY, USA, 1976.
  3. R. O. Duda and J. E. Gasching, “Model design in the prospector consultant system for mineral exploration,” in Expert Systems in the Micro Electronic Age, D. Michie, Ed., Edinburgh University Press, Edinburgh, UK, 1979. View at Google Scholar
  4. R. E. Neapolitan, Probabilistic Reasoning in Expert Systems: Theory and Algorithms, John Wiley & Sons, New York, NY, USA, 1990.
  5. J. L. Kolodner, “An introduction to case-based reasoning,” Artificial Intelligence Review, vol. 6, no. 1, pp. 3–34, 1992. View at Publisher · View at Google Scholar · View at Scopus
  6. A. R. Golding and P. S. Rosenbloom, “Improving accuracy by combining rule-based and case-based reasoning,” Artificial Intelligence, vol. 87, no. 1-2, pp. 215–254, 1996. View at Google Scholar · View at Scopus
  7. E. L. Rissland and D. B. Skalak, “Combining case-based and rule-based reasoning: a heuristic approach,” in Proceedings of the 11th International Joint Conference on Artificial Intelligence (IJCAI '89), pp. 524–530, Morgan Kaufmann, 1989.
  8. R. H. Chi and M. Y. Kiang, “An integrated approach of rule-based and case-based reasoning for decision support,” in Proceedings of the 19th Annual Conference on Computer Science (CSC '91), pp. 255–267, 1991.
  9. S. Montani and R. Bellazzi, “Integrating case based and rule based reasoning in a decision support system: evaluation with simulated patients,” in Proceedings of the AMIA Symposium, N. Lorenzi, Ed., pp. 887–891, Hanley & Belfors, 1999.
  10. J. Prentzas and I. Hatzilygeroudis, “Integrating hybrid rule-based with case-based reasoning,” in Proceedings of the 6th European Conference on Advances in Case-Based Reasoning (ECCBR '02), S. Craw and A. Preece, Eds., pp. 336–349, Springer, 2002.
  11. W. Shi and J. A. Barnden, “How to combine CBR and RBR for diagnosing multiple medical disorder cases,” in Proceedings of the 6th International Conference on Case-Based Reasoning (ICCBR '05), H. Munoz-Avila and F. Ricci, Eds., vol. 3620 of Lecture Notes in Computer Science, pp. 477–491, Springer, 2005.
  12. W. M. Wang, C. F. Cheung, W. B. Lee, and S. K. Kwok, “Knowledge-based treatment planning for adolescent early intervention of mental healthcare: a hybrid case-based reasoning approach,” Expert Systems, vol. 24, no. 4, pp. 232–251, 2007. View at Publisher · View at Google Scholar · View at Scopus
  13. G. H. Lee, “Rule-based and case-based reasoning approach for internal audit of bank,” Knowledge-Based Systems, vol. 21, no. 2, pp. 140–147, 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Yang and Q. Shen, “Reinforcing fuzzy rule-based diagnosis of turbomachines with case-based reasoning,” International Journal of Knowledge-Based and Intelligent Engineering Systems, vol. 12, no. 2, pp. 173–181, 2008. View at Google Scholar
  15. K. A. Kumar, Y. Singh, and S. Sanyal, “Hybrid approach using case-based reasoning and rule-based reasoning for domain independent clinical decision support in ICU,” Expert Systems with Applications, vol. 36, no. 1, pp. 65–71, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. M. M. Cabrera and E. O. Edye, “Integration of rule based expert systems and case based reasoning in an acute bacterial meningitis clinical decision support system,” International Journal of Computer Science and Information Security, vol. 7, no. 2, pp. 112–118, 2010. View at Google Scholar
  17. P. Berka, V. Laš, and V. Svátek, “NEST: re-engineering the compositional approach to rule-based inference,” Neural Network World, vol. 14, no. 5, pp. 367–379, 2004. View at Google Scholar · View at Scopus
  18. A. Aamodt and E. Plaza, “Case-based reasoning: foundational issues, methodological variations, and system approaches,” AI Communications, vol. 7, no. 1, pp. 39–59, 1994. View at Google Scholar · View at Scopus
  19. P. Hajek, “Combining functions for certainty degrees in consulting systems,” International Journal of Man-Machine Studies, vol. 22, no. 1, pp. 59–76, 1985. View at Google Scholar · View at Scopus
  20. P. Berka, J. Ferjenčík, and J. Ivánek, “Expert system shell SAK based on complete many-valued logic and its application in territorial planning,” in Fuzzy Approach to Reasoning and Decision Making, V. Novák et al., Ed., pp. 67–74, Academia, Prague and Kluwer Academic Publishers, Dodrecht, The Netherlands, 1992. View at Google Scholar
  21. “NCEP APT III system,” http://hp2010.nhlbihin.net/atpiii/calculator.asp?usertype=prof.
  22. “PROCAM Risk Calculator,” http://www.chd-taskforce.de/procam_interactive.html.
  23. “Heart Score,” http://www.heartscore.org/Pages/welcome.aspx.
  24. P. Berka and M. Tomečková, “Atherosclerosis risk assessment using rule-based approach,” in Advances in Data Management, Z. Ras and A. Dardzinska, Eds., pp. 333–350, Springer, Berlin, Germany, 2009. View at Google Scholar