Hostname: page-component-8448b6f56d-dnltx Total loading time: 0 Render date: 2024-04-23T23:21:25.926Z Has data issue: false hasContentIssue false
  • English
  • Français

Using the points of large cases

Published online by Cambridge University Press:  27 February 2009

Eric Domeshek  and
Janet Kolodner
Eric Domeshek
Affiliation:
College of Computing, Georgia Institute of Technology, Atlanta, GA 30332-0280, U.S.A.
Janet Kolodner
Affiliation:
College of Computing, Georgia Institute of Technology, Atlanta, GA 30332-0280, U.S.A.
Get access Rights & Permissions [Opens in a new window]

Abstract

We believe that case-based reasoning (CBR) will prove applicable to design, at least in part, as we have seen designers making extensive use of past cases. Construction of useful systems, however, requires the resolution of many open issues. In this paper we consider three issues in particular: (1) What sort of content should be captured in a design case? (2) How should the content of a complex case be segmented into chunks for use? (3) How should the resulting chunks be indexed for retrieval? These are among the issues we are seeking to address through construction of Archie-II, a case-based aid for conceptual design in architecture. In addition to our approaches to these issues, this paper also discusses our strategic choice to build a design aiding system as opposed to a system that generates designs on its own.

Type
Research Article
Information
AI EDAM , Volume 7 , Issue 2 , May 1993 , pp. 87 - 96
Copyright
Copyright © Cambridge University Press 1993

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Barber, J., Bhatta, S., Goel, A., Jacobson, M., Pearce, M., Penberthy, L., Shankar, M., Simpson, R. and Stroulia, E. 1992. ASKJEF: Integration of case-based and multimedia technologies for interface design support. In Artificial Intelligence in Design '92, ed. Gero, J.S.The Netherlands: Kluwer Academic, pp. 457–475.Google Scholar
Bareiss, R., Ferguson, W. and Fano, A. 1991. The story archive: a memory for case-based tutoring. In the Proceedings of the 1991 DARPA Workshop on Case-Based Reasoning, San Mateo, CA: Morgan-Kaufmann.Google Scholar
Barletta, R. and Hennessy, D. 1989. Case adaptation in autoclave layout design. In the Proceedings of the DARPA Case-Based Reasoning Workshop, Pensacola Beach, FL, pp 203–207.Google Scholar
Veloso, M. and Carbonell, J. 1991. Automating case generation, storage, and retrieval in PRODIGY. In the Proceedings of the First International Workshop on Multistrategy Learning, Center for Artifical Intelligence, George Mason University, Fair-fax, VA, pp 363–377.Google Scholar
Conklin, J. and Begeman, M. 1989. gIBIS: a tool for ALL reasons. Journal of the American Society for Information Science, 40(3), 200–213.3.0.CO;2-U>CrossRefGoogle Scholar
Domeshek, E. 1992. Do the right thing: a component theory for indexing stories as social advice. PhD Dissertation, Yale University, Department of Computer Science. (Available as Technical Report #26, Northwestern University, The Institute for the Learning Sciences, Evanston, IL, 1992)Google Scholar
Domeshek, E. and Kolodner, J. 1991. A case-based design aid for conceptual design. International Journal of Expert Systems,4(2), 201–220.Google Scholar
Domeshek, E. and Kolodner, J. 1992. A case-based design aid for architecture. In Artificial Intelligence in Design '92, ed. Gero, J.S.The Netherlands: Kluwer Academic, pp 479–516.Google Scholar
Edelson, D. 1991. Why do cheetahs run fast? Responsive questioning in a case-based teaching system. In the Proceedings of the International Conference on the Learning Sciences, Association for the Advancement of Computers in Education, Charlottesville, VA, pp 138–144.Google Scholar
Ferguson, W., Bareiss, R., Osgood, R. and Birnbaum, L. 1991. ASK systems: an approach to story-based teaching. In the Proceedings of the International Conference on the Learning Sciences, Association for the Advancement of Computers in Education, Charlottesville, VA, pp 158–164.Google Scholar
Gero, J. 1990. Design prototypes: knowledge representation schema for design. AI Magazine, 11(4), 26–36.Google Scholar
Goel, A. 1991. A model-based approach to case adaptation. In the Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society, Hillsdale, NJ: Lawrence Erlbaum, pp 143–148.Google Scholar
Hammond, K. 1989. Case-Based Planning: Viewing Planning as a Memory Task. Boston, MA: Academic Press.CrossRefGoogle Scholar
Hennessy, D. and Hinkle, D. 1992. Applying case-based reasoning to autoclave loading. IEEE Expert, 7(5), 21–26.CrossRefGoogle Scholar
Hinrichs, T. 1991. Problem Solving in Open Worlds: A Case Study in Design, Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Kolodner, J., Simpson, R. and Sycara, K. 1985. A process model of case-based reasoning in problem solving. In the Proceedings of the Ninth International Joint Conference on Artificial Intelligence, pp 284–290.Google Scholar
Kolodner, J. 1991. Improving human decision making through case-based decision aiding. AI Magazine 12(2), 52–68.Google Scholar
Oxman, R. 1992. Putting the case in place: content-based indexing and representation in design. In Proceedings of the AID '92 Workshop on Case-Based Design Systems, pp 65–67.Google Scholar
Redmond, M. 1992. Learning by observing and understanding expert problem solving. Ph.D. Dissertation, Georgia Institute of Technology, College of Computing (Available as Technical Report #GIT-CC-92/43, 1992.)Google Scholar
Ruecker, L. and Seering, W. 1992. Indexing cases using context rather than content. In Proceedings of the AID '92 Workshop on Case-Based Design Systems, pp 73–76.Google Scholar
Schank, R. 1982. Dynamic Memory: A Theory of Reminding and Learning in Computers and People. Cambridge: Cambridge University Press.Google Scholar
Schank, R. 1991. Case-based teaching: four experiences in educational software design. Technical Report –10, Northwestern University, The Institute for the Learning Sciences, Evanston, IL.Google Scholar
Sycara, K. and Navinchandra, D. 1989. A process model of experience-based design. In the Proceedings of the Eleventh Annual Conference of the Cognitive Science Society, Hillsdale, NJ: Lawrence Erlbaum, pp 283–290.Google Scholar