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Computability of Design (Principles of Computer-Aided Design)
  
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Computability of Design (Principles of Computer-Aided Design) [Hardcover]

Yehuda E. Kalay (Editor)


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Book Description

0471853879 978-0471853879 November 17, 1987 1
Computer-aided design (CAD) has promised to transform the art and science of architectural design. Yet, despite some significant achievements in the past 3 decades, it has so far failed to do so. This stimulating volume, derived from a symposium held at SUNY, Buffalo in December 1986, explores the reasons why design is so difficult to support by computational means, and what can be done to alleviate this difficulty. Written by an interdisciplinary panel of experts, it presents a varied and comprehensive view of the ways creative design processes can be modelled. The contributors do not all reach the same conclusions, which makes this book lively reading. Topics are arranged into four parts: constructing models of the design process, the computational representation of design knowledge (including spatial information and implicit design intent), methods for computing the design process as a whole (including mathematical programming, expert systems, and shape grammars), and the integration of CAD with traditional design practices.

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Computer-aided design (CAD) has promised to transform the art and science of architectural design. Yet, despite some significant achievements in the past 3 decades, it has so far failed to do so. This stimulating volume, derived from a symposium held at SUNY, Buffalo in December 1986, explores the reasons why design is so difficult to support by computational means, and what can be done to alleviate this difficulty. Written by an interdisciplinary panel of experts, it presents a varied and comprehensive view of the ways creative design processes can be modelled. The contributors do not all reach the same conclusions, which makes this book lively reading. Topics are arranged into four parts: constructing models of the design process, the computational representation of design knowledge (including spatial information and implicit design intent), methods for computing the design process as a whole (including mathematical programming, expert systems, and shape grammars), and the integration of CAD with traditional design practices.

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