Abstract
In this paper we present an AI-based approach for the discovery of design methodologies for multi-disciplinary design situations. The approach is based on simulating the design process using a multi-agent system that mimics the behavior of the design team. The system activates the pieces of design knowledge when they become applicable. The use of knowledge by agents is recorded by tracing the steps that the agents have taken during a design project. Many traces are generated by solving a large number of design projects that differ in their requirements. A set of design methodologies is constructed by using clustering techniques to generalize the traces. These methodologies can be used to guide design teams through design projects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brown, D. C., Lander, S. E. and Petrie, C. J.: 1996, The application of multi-agent systems to concurrent engineering, Editorial: Concurrent Engineering: Research and Applications 4(1), 2–5.
Duffy, A. H. B.: 1997, The ‘what’ and ‘how’ of learning in design, IEEE Expert: Intelligent Systems and Their Applications, 12(3), 71–76
Gebala, D. G. and Eppinger, S. D.: 1991, Methods for analyzing design procedures, Proceeding of ASME Design Theory and Methodology Conference: DTM’91, ASME DE-Vol. 31, pp. 227–233.
Hale, M., Craig, J. I., Mistree, F. and Schrage, D. P.: 1996, DREAMS and IMAGE: A model and computer implementation for concurrent, life-cycle design of complex systems, Concurrent Engineering: Research and Applications, 4(2), 171–186.
Kroo, I. and Takai, M.: 1990, Aircraft design optimization using a quasi-procedural method and expert system, Multidisciplinary Design and Optimization Symposium, Nov. 1990.
Lander, S.: 1997, Issues in multi-agent design systems, IEEE Expert: Intelligent Systems and their Applications, 12(2), 18–26.
Langley, P.: 1996, Elements of Machine Learning, Morgan Kaufmann, San Mateo.
Levitt, R. E., Jin, Y. and Dym, C. L.: 1991, Knowledge-based support for management of concurrent, multidisciplinary design, AI EDAM, 5(2), 77–95.
Liu, J., and Brown, D. C.: 1994, Generating design decomposition knowledge for parametric design problems, in J. S. Gero and F. Sudweeks (eds.), AID-94: Artificial Intelligence in Design’94, Kluwer Academic Publishers, Doprdrecht, pp. 661–678.
Mitchell, T. M.: 1997, Machine Learning, McGraw-Hill Companies, Inc.
National Science Foundation: 1996, Research Opportunities in Engineering Design, NSF Workshop Final Report.
Rivin, E. I.: 1988, Mechanical Design of Robots, McGraw-Hill, New York.
Shakeri, C.: 1998, Discovery of Design Methodologies for the Integration of Multi-disciplinary Design Problems, Ph.D. Thesis, Mechanical Engineering Department, WPI, Worcester, MA 01609, USA.
Shakeri, C., Brown, D. C. and Noori, M. N.: 1998, Discovering methodologies for integrated product design, Proceedings of 1998 AI and Manufacturing Workshop: State of the Art and State of Practice, Albuquerque, NM, pp. 169–176.
Sobolewski, M.: 1996, Multiagent knowledge-based environment for concurrent engineering applications, Concurrent Engineering: Research and Applications, 4(1), 89–97.
Sobieszczanski-Sobieski, J. and Haftka, R. T.: 1996, Multidisciplinary aerospace design optimization: Survey of recent developments, 34th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA Paper No. 96-0711, p. 32.
Wooldridge, M.: 1997, Agent-based software engineering, IEEE Transactions on Software Engineering, 144(1), 26–37.
Woyak, S., Malone, B. and Myklebust, A.: 1995, An architecture for creating engineering applications: The dynamic integration system, Proceeding of ASME Computers in Engineering Conference, Boston, MA.
Wujek, B. A., Renaud, J. E. Batill, S. M. and Brockman, J. B.: 1996, Concurrent subspace optimization using design variable sharing in a distributed computing environment, Concurrent Engineering: Research and Applications, 4(4), 361–377.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Shakeri, C., Brown, D.C., Noori, M.N. (2000). Discovery of Design Methodologies. In: Gero, J.S. (eds) Artificial Intelligence in Design ’00. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4154-3_24
Download citation
DOI: https://doi.org/10.1007/978-94-011-4154-3_24
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-5811-7
Online ISBN: 978-94-011-4154-3
eBook Packages: Springer Book Archive