Download Artificial Intelligence in Design ’96 by Patrick Olivier, Keiichi Nakata, Malcolm Landon (auth.), PDF

By Patrick Olivier, Keiichi Nakata, Malcolm Landon (auth.), John S. Gero, Fay Sudweeks (eds.)

Change is likely one of the most vital parameters in our society. Designers are among the first switch brokers for any society. accordingly layout is a vital learn subject in engineering and structure and similar disciplines, due to the fact that layout isn't just a way of swap yet can be one of many keystones to financial competitiveness and the basic precursor to production. the advance of computational versions based at the synthetic intelligence paradigm has supplied an impetus for a lot of present layout learn -both computational and cognitive. those kinds of layout examine have basically been performed within the final decade or so and within the temporal feel they're nonetheless immature. although this immaturity, seen advances were made either in extending our knowing of layout and in constructing instruments in accordance with that figuring out. when many researchers within the box of synthetic intelligence in layout utilise rules approximately how people layout as one resource of options there's quite often no try and version human designers. fairly the result of the examine offered during this quantity reveal methods to expanding our figuring out of layout as a process.

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SEMANTICS An important aspect of the designs we are looking at is the distinction between different function zones. The layouts have zones representing living space, service space and porches. Of central importance is the location of the fireplace. In the shape grammar used in Koning and Eizenberg (1981), the zones for service and living space are established around the fireplace with the first rules, and detailed at the end of the first 38 rules. At the same time, porches are added. 1. Semantics in basic coding As described, both shapes and functional organization can be important aspects of a style of a set of designs.

In colour grammars, however, the colours don't have any semantics attached, and colours can be mixed. 3. 1. GENETIC ENGINEERING One foundation for evolving representations is genetic engineering. It is derived from genetic engineering notions related to human intervention in the genetics of natural organisms. If a group of similar organisms can be seperated into two sets distinguished by a difference in one particular attribute, then a comparison of the genetic codes of the organisms in the two groups can reveal what genes or gene groups are responsible for the difference.

Very few attempts have been made to automatize the process. Chase (1989) showed how the automatic generation of shapes from (given) shape grammars can be realized. Mackenzie (1989) described a system that is able to produce grammars from example de- 40 THORSTEN SCHNIER AND JOHN S. GERO signs, if the designs are described in tenns of their basic components and their topology. The transfonnations used in that paper are not unique, many different grammars are possible for any given set of designs.

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