Abstract
The aim of this paper is to discuss some positions, trends and future possibilities of CAAD and its AI support in connection with knowledge-based systems and the emerging cognitive and evolutionary paradigms of design. Problems of recognition and generation in designing architectural artifacts are surveyed. The capability to simulate design descriptions, generations and acceptance leads us to the concept of evolutionary redesign guided by tradition. Modelling of design intelligence at the level of evaluation of generitive design decisions makes it possible to explain improvement in design evolution. Real innovative design is connected to ideological revolutions and re-evaluations difficult to model. Customary rule relaxation in this context is discussed at meta-level using the concept of hyperconstituent. Real mastering of cognitive aspects in design calls for knowledge about design know-how, human emotions, volitions, expectations and skills. This makes it possible to investigate the harmonization of expert knowledge at master level in architectural decisions. The study of interpretation of design artifacts with cultural goals and values opens the way to recognize significant and important features in architecture considered as technology, art and science.
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