Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-04T19:38:28.163Z Has data issue: false hasContentIssue false

PANDA: A case-based system to aid novice designers1

Published online by Cambridge University Press:  27 February 2009

Stacy Roderman
Affiliation:
Center for Excellence in Computer-Aided Systems Engineering, Department of Electrical and Computer Engineering, The University of Kansas, Lawrence, KS 66045, U.S.A.
Costas Tsatsoulis
Affiliation:
Center for Excellence in Computer-Aided Systems Engineering, Department of Electrical and Computer Engineering, The University of Kansas, Lawrence, KS 66045, U.S.A.

Abstract

PANDA, the Pumper Apparatus Novice Design Assistant, is a case-based design system developed to assist firefighters who wish to design their pumper engines. In contrast to other such systems, PANDA addresses the unique needs of a novice, non-specialist who performs design in a highly specialized domain, where the design is decomposable into elements which each fulfill their own identifiable function. In PANDA we study how to create an interactive case-based design assistant that can understand the needs and desires of a non-specialist designer and can translate them into formal specifications; that can provide assistance by using case-based design methodologies; that can deal with non-functional design criteria such as aesthetics and traditional practices; and that can guide the novice designer by discussing alternatives, tradeoffs, and adaptations. Our prototypical system verifies our methodological approach to supporting novice design activities.

Type
Research Article
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

Alexander, P. and Tsatsoulis, C. 1991. Using sub-cases for skeletal planning and partial case reuse. International Journal of Expert Systems, 4 (2), 221247.Google Scholar
Barletta, R. and Hennessy, D. 1989. Case adaptation in autoclave layout design. Proceedings: Case-Based Reasoning Workshop, 203207.Google Scholar
Chang, C. C. 1992. User's Manual for the MEM 1 System. CECASE Technical Report TR-8640–22, University of Kansas.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., pp 497516.Google Scholar
Gero, J. 1990. Design prototypes: a knowledge representation schema for design. The Al Magazine, 11 (4), 2736.Google Scholar
Geol, A., Kolodner, J., Pearce, M. and Billington, R. 1991. Towards a case-based tool for aiding conceptual design problem solving. Proceedings: Case-Based Reasoning Workshop, May, 109120.Google Scholar
Hinrichs, T. 1992. Problem Solving in Open Worlds: A Case Study in Design. Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Hua, K., Smith, I. and Faltings, B. 1992. Adaptation of spatial design cases. In Artificial Intelligence in Design '92, ed. Gero, J. S., pp 559575.Google Scholar
Huhns, M. N. and Acosta, R. D. 1988. Argo: an analogical reasoning system for solving design problems, MCC Technical Report AI/CAD-092–87, Microelectronics and Computer Technology Corporation, Houston.Google Scholar
Kolodner, J. 1987. Extending problem solver capabilities through case-based inference. Proceedings of the 4th Annual International Machine Learning Workshop, New York: Morgan Kaufmann, pp 2130.Google Scholar
Kolodner, J. 1991. Improving human decision-making through case-based decision aiding. The AI Magazine, 12 (2), 5268.Google Scholar
Mayer, M. L. 1990. Process models for design synthesis. The Al Magazine, 11 (4), 4958.Google Scholar
Mriryala, K. and Harandi, M. T. 1991. The role of analogy in specification derivation. 6th Annual Knowledge Based Software Engineering Conference, 9198.Google Scholar
NFPA. 1991. NFPA 1901 Standard for Pumper Fire Apparatus. National Fire Protection Association, Quincy, MA.Google Scholar
Zhao, F. and Maher, M. L. 1992. Using network-based prototypes to support creative design by analogy and mutation. In Artificial Intelligence in Design '92, ed. Gero, J. S.Amsterdam: Kluwer Academic Publishers, pp 773793.Google Scholar