Skip to main content

Case-Based design for tablet formulation

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1488))

Abstract

Case-Based Design (CBD) applies a knowledge-based process to the knowledge commonly associated with Case-Based Reasoning (CBR) systems — the library of exemplars. This paper investigates the problems in using commercial CBR tools, primarily aimed at classification applications, for a more knowledge intensive CBD task, and proposes techniques that overcome some of these difficulties. This work results from the development of a pharmaceutical CBD system Cbr-Tfs that proposes tablet formulations in order to manufacture viable tablets. Results show that Cbr-Tfs proposes useful ingredients for the tablet, and that the quantities it suggests are well within the limits of the tablet manufacturing process. CBD's increased need for specialised adaptation knowledge is also highlighted and this raises the issue of its acquisition.

The work reported here underpins a recently awarded EPSRC grant (GR/L98015) that aims to provide automated tools that assist knowledge acquisition for CBD.

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. A. Aamodt and E. Plaza. Case-based reasoning: Foundational issues, methodological variations, and system approaches. AICOM, 7(1):39–59, 1994.

    Google Scholar 

  2. S. R. Bhatta and A. K. Goel. Model-based design indexing and index learning in engineering design. Engineering Applications of Artificial Intelligence, 9(6):601–609, 1996.

    Article  Google Scholar 

  3. S. Craw, R. Boswell, and R. Rowe. Knowledge refinement to debug and maintain a tablet formulation system. In Proceedings of the 9TH IEEE International Conference on Tools with Artificial Intelligence (TAI'97), pages 446–453, Newport Beach, CA, 1997. IEEE Press.

    Google Scholar 

  4. J. Frank, B. Rupprecht, and W. Schmelmer. Knowledge-based assistance for the development of drugs. IEEE Expert, 12(1):40–48, 1997.

    Article  Google Scholar 

  5. F. Gebhardt, A. Vo\, W. Gräther, and B. Schmidt-Belz. Reasoning with Complex Cases. Kluwer, 1997.

    Google Scholar 

  6. K. J. Hammond. Explaining and repairing plans that fail. AI, 45(1–2):173–228, 1990.

    Google Scholar 

  7. T. Hinrichs and J. Kolodner. The roles of adaptation in case-based design. In Proceedings of the Ninth National Conference on Artificial Intelligence, Cambridge, MA, 1991. AAAI Press/MIT Press.

    Google Scholar 

  8. D. B. Leake. Combining rules and cases to learn case adaptation. In Proceedings of the 17th Annual Conference of the Cognitive Science Society, pages 84–89, Pittsburgh, PA, 1995.

    Google Scholar 

  9. M. L. Maher, M. B. Balachandran, and D. M. Zhang. Case-Based Reasoning in Design. Lawrence Erlbaum, Mahwah, NJ, 1995.

    Google Scholar 

  10. M. Pearce, A. K. Goel, J. L. Kolodner, and others. Case-based design support: A case in architectural design. IEEE Expert, 7(5):14–20, October 1992.

    Article  Google Scholar 

  11. B. Porter, R. Bareiss, and R. C. Holte. Concept learning and heuristic classification in weak-theory domains. AI, 45(3):229–263, 1990.

    Google Scholar 

  12. M. M. Richter. The knowledge contained in similarity measures. Invited Talk at the 1st International Conference on CBR (http: //wwwagr.informatik.unikl.de/~lsa/CBR/Richtericcbr95remarks.html), 1995.

    Google Scholar 

  13. R. Rowe. An expert system for the formulation of pharmaceutical tablets. Manufacturing Intelligence, 14:13–15, 1993.

    Google Scholar 

  14. J. Surma and B. Braunschweig. Case-base retrieval in process engineering: Supporting design by reusing flowsheets. Engineering Applications of Artificial Intelligence, 9(4):385–391, 1996.

    Article  Google Scholar 

  15. D. Wettschereck and D. W. Aha, editors. Proceedings of the ECML-97 Workshop on Case-Based Learning: Beyond Classification of Feature Vectors, 1997.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Barry Smyth Pádraig Cunningham

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Craw, S., Wiratunga, N., Rowe, R. (1998). Case-Based design for tablet formulation. In: Smyth, B., Cunningham, P. (eds) Advances in Case-Based Reasoning. EWCBR 1998. Lecture Notes in Computer Science, vol 1488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056347

Download citation

  • DOI: https://doi.org/10.1007/BFb0056347

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64990-8

  • Online ISBN: 978-3-540-49797-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics