| authors |
Carrara, Gianfranco, Kalay, Yehuda E. and Novembri, Gabriele |
| year |
1994 |
| title |
Knowledge-Based Computational Support for Architectural Design |
| source |
Reconnecting [ACADIA Conference Proceedings / ISBN 1-880250-03-9] Washington University (Saint Louis / USA) 1994, pp. 5-12 |
| doi |
https://doi.org/10.52842/conf.acadia.1994.005
|
| summary |
The process of architectural design aims to define a physical form that will achieve certain functional and behavioral objectives in a particular context. It comprises three distinct, but highly interrelated, operations: (1) Definition of the desired objectives; (2) production of alternative design solutions; (3) evaluation of the expected performances of the solutions and their comparison to the predefined objectives. Design can be viewed as a process of search for a solution that satisfies stated needs, while at the same time adapting the needs to the opportunities and limitations inherent in the emerging solution. // Computational techniques were developed to assist each one of the three operations, with varying degrees of success. We propose to integrate all three operations into one whole, by developing a computational model that will facilitate smooth transition from one operation to another. The role of computers in supporting this model will include providing a knowledge base of prototypical design objectives and solutions, storing project-specific design goals and solutions, and predicting their expected performances. This paper discusses the rationale and background for developing such a knowledge-based design system, and presents the parameters for implementing it as a computational tool to support architectural design. Examples from a prototype implementation serve to illustrate the discussion.
|
| series |
ACADIA |
| email |
|
| full text |
 file.pdf (1,039,827 bytes) |
| references |
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