Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-05T08:58:30.545Z Has data issue: false hasContentIssue false
  • English
  • Français

Learning for design reuse

Published online by Cambridge University Press:  27 February 2009

Alex H.B. Duffy  and
Sandra M. Duffy
Alex H.B. Duffy
Affiliation:
CAD Centre, Dept. of Design, Manufacture & Engineering Management, University of Strathclyde, 75 Montrose Street, Glasgow Gl 1XJ, Scotland
Sandra M. Duffy
Affiliation:
Centre of Integrated Product Development, Scottish Designs, The Cád' Oro, 45 Gordon Street, Glasgow, Scotland, Gl 32Z
Get access Rights & Permissions [Opens in a new window]

Abstract

Over the past decade “design assistance,” that is, where the computer is viewed as an Intelligent Design Assistant (IDA) (MacCallum et al., 1987), has emerged in knowledge based design support and has formed the basic research strategy for the CAD Centre, University of Strathclyde, since the mid-1980s. Within this philosophy, an IDA would act as a colleague to a designer, providing guidance, learning from past design experiences, carrying out semi- and fully-automated tasks, explaining its reasoning and in essence complementing the designer's own natural skills, and thus leaving the ultimate decision-making, control, and responsibility with the designer (Fig. 1).

Type
Research Abstracts
Information
AI EDAM , Volume 10 , Issue 2: Special Issue: Machine learning in design , April 1996 , pp. 139 - 142
Copyright
Copyright © Cambridge University Press 1996

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

REFERENCES

Duffy, A.H.B. (1986). Computer modelling of early stage numerical ship design knowledge and expertise. Ph.D Thesis, Dept. of Ship and Marine Technology, University of Strathclyde, Glasgow, Scotland.Google Scholar
Duffy, A.H.B., & Kerr, S.M. (1993). Customised perspectives of past designs from automated group rationalisations. Artif. Intell. Eng. 8, 183–200.CrossRefGoogle Scholar
Duffy, S.M., & Duffy, A.H.B. (1996). Sharing the learning activity using intelligent CAD, AIEDAM 10(2), xxx–xxx.CrossRefGoogle Scholar
Duffy, S.M., Duffy, A.H.B., & MacCallum, K.J. (1995). A design reuse model. Int. Conf. Engin. Design (ICED’95), Vol. 2, 490–495.Google Scholar
Duffy, A.H.B., Persidis, A., & MacCallum, K.J. (1995b). NODES: A numerical and object based modelling system for conceptual engineering design, In Knowledge Based Systems, (Edmonds, E.A., Ed.). Elsevier Science Publishers Ltd., Amsterdam.Google Scholar
Kerr, S.M. (1993). Customised viewpoint support for the utilisation of experiential knowledge in design, Ph.D. Thesis, CAD Centre, University of Strathclyde, Glasgow, Scotland.Google Scholar
Kerr, S.M., & Duffy, A.H.B. (1992). Dynamic memory by automating rationalisation of past designs, Machine Learning in Design Workshop, 2nd Int. Conf. Artif. Intell. Design.Google Scholar
MacCallum, K.J., Duffy, A.H.B., & Green, S. (1987). An intelligent concept design assistant. Design Theory for CAD, IFIP WG5.2 Workshop 3 on Intelligent CAD, pp. 301–317. Elsevier Science, B.V., North-Holland.Google Scholar
Persidis, A. (1989). Modelling of abstractions for computer aided design, Ph.D. Thesis, CAD Centre, University of Strathclyde, Glasgow, Scotland.Google Scholar
Persidis, A., & Duffy, A.H.B. Learning in engineering design, 3rd Int. Workshop on Intelligent CAD, IFIP WG5.2, North-Holland, pp. 251–272.Google Scholar