Journal article
Knowledge-based design research at the key centre of design computing
Automation in construction, v 3(2-3), pp 229-237
1994
Abstract
This report outlines the current focus of the research at the Key Centre of Design Computing (KCDC) in the field of knowledge-based design and its future directions. The research is classified into seven main areas as follows: • Computer-Supported Synchronous Collaborative Design (CSSCD) • Design Creativity • Evolutionary Models of Design • Shape Emergence • Design Intent and Multiple Abstractions • Integration of Specific and General Knowledge • Concept Learning - Machine Learning. While each such area will be discussed separately, there are many interrelations between them. For example, the research on CSSCD includes the research into shape emergence, design intent and multiple abstractions and their integration in the one environment; design creativity includes research into shape emergence and evolutionary models; CSSCD, evolutionary models, design creativity, case-based design and design intent/multiple abstractions all deal with object-oriented or schema-based representations of design objects and classes, using the design prototype schema developed at the then Design Computing Unit (DCU). The work on memory organization for heterogenous design knowledge includes aspects of concept learning and machine learning. Evolutionary models are also seen as an approach to machine learning. All the above areas of research are concerned with producing computable models of design processes based on integrating artificial intelligence approaches with CAD systems to provide better design support for designers using CAD systems. Other areas of research of the KCDC, not described in this paper are design theory and practice. © 1994.
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Details
- Title
- Knowledge-based design research at the key centre of design computing
- Creators
- M. A. Rosenman - The University of SydneyJ. S. Gero - The University of SydneyM. L. Maher - The University of Sydney
- Publication Details
- Automation in construction, v 3(2-3), pp 229-237
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Scopus ID
- 2-s2.0-0028460517
- Other Identifier
- 991022203056204721