CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

authors Svetel, Igor
year 2000
title Using Machine Learning Techniques to Enhance Expressiveness of Computer-based Design Systems
source Promise and Reality: State of the Art versus State of Practice in Computing for the Design and Planning Process [18th eCAADe Conference Proceedings / ISBN 0-9523687-6-5] Weimar (Germany) 22-24 June 2000, pp. 321-325
summary More and more designers use computers and netAbstract In face of the huge expansion of computer-mediated interaction among people, current representation-centered CAAD systems do not offer full information spectrum necessary to express all design intentions. Representational structures that those systems use suppress expression of affective information that plays a major role in design process. The paper describes few experiments conducted at the IMS Institute to enhance expressiveness of the CAAD systems.
keywords Expression, Emotion, Machine Learning
series eCAADe
email isvetel@infosky.net
more http://www.uni-weimar.de/ecaade/
full text file.pdf (53,239 bytes)
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