By I. Donaldson, K. MacCallum (auth.), John S. Gero, Fay Sudweeks (eds.)
Design is a crucial study subject in engineering and structure, considering the fact that layout is not just a method of swap but in addition one of many keystones of financial competitiveness and the elemental precursor to production. even if, our realizing of layout as a strategy and our skill to version it are nonetheless very restricted. the advance of computational versions based at the synthetic intelligence paradigm has supplied an impetus for a lot of present layout examine -- either computational and cognitive. though their immaturity obvious advances were made either in extending our knowing of layout and in constructing instruments in response to that knowing.
The papers during this quantity are from the 3rd overseas convention on synthetic Intelligence in layout held in August 1994 in Lausanne, Switzerland. They signify the leading edge of study and improvement during this box. they're of specific curiosity to researchers, builders and clients of computers in layout. This quantity demonstrates either the breadth and intensity of man-made intelligence in layout and issues the future of our figuring out of layout as a procedure and for the advance of computer-based instruments to assist designers.
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Additional info for Artificial Intelligence in Design ’94
Gero. : 1992. Creativity. emergence and evolution in design. in Gero. J. S. and Sudweeks. F. (eds). Preprints Computational Models of Creative Design. University of Sydney. Sydney. Iwasaki. Y.. Fikes.
For creative design, these languages must be generative and capable to express any possible function or structure. In our system, we use a hierarchy of representation languages, as shown in Figure 3. In this section, we present the languages we use for modeling qualitative function and shape features. 1. METRIC DIAGRAM REPRESENTATION OF SHAPE Shapes are represented using a metric diagram. The metric diagram consists of a symbolic structure which defines vertices, edges and metric parameters for the positions of the vertices.
We present a technique based on a form of explanationbased learning which allows a designer to extend the knowledge base by demonstrating a structure which implements a function in a creative way. Structure is defined as the geometry of the parts, and function using a general logical language based on qualitative physics. We argue that the technique can accommodate any creative design in the example domain, and we demonstrate the technique using an example of a creative design. 1. Introduction We consider those knowledge-based CAD systems where designers can compose designs from a library of prototypes (Gero, 1990) which the CAD system "knows" how to instantiate and adapt during the design process.