ETH Zuerich - Startseite
Professur für CAAD

 


caad d-arch


Caad Teaching
 

 
Bachelor of Architecture: CAAD II ss07

 
Master of Advanced Studies
in Architecture, CAAD


 
DWF-Processing
Programmieren statt Zeichnen


 
Graustufen - Ein Atlas
Schweizer Wohngebäude als XML Daten


 
DWF- Denken in Systemen:
In Collaboration with the Technical University Vienna


 
Seminarwoche:
BlowUp


 
Archiv

 
Caad Projects
 

 
Theory
 
Design
 
Building
 
Practice

 
Related pages
 

 
Swiss Federal Institute of Technology Zurich
 
Institute of Building Technology
 
Faculty of Architecture

 
Other pages

 










hbt d-arch

Aspect-based Building Design

A collaboration with the Project R1-[ImageSpace] - Mental Representations of Spatial Environments Transregional Collaborative Research Center Spatial Cognition, University of Bremen

Christian Freksa, Sven Bertel, Thomas Barkowsky (U Bremen), Georg Vrachliotis (ETH)

aspects1.jpg

contact: Georg Vrachliotis

The ongoing research is based on descriptions of architectural design processes from a cognitive science and artificial intelligence perspective. It characterizes the design task in terms of classical AI problem solving attributes. As architectural design specifications leave many relevant dimensions unspecified, it is a fascinating question how these dimensions are fixed during the design process. General strategies are identified to cope with the complex space of spatial design by considering cognitive approaches to understanding and problem solving. The AI “divide and conquer” problem solving strategy is adapted to the common design strategy of reducing problem complexity by focusing on different aspects of the design problem at a time.

A universal method for conquering architectural design problems does not exist. Rather, design practice requires the combination of a host of different methods, techniques, and representational formats. Problem segmentation into non-overlapping parts is not an option for typical design problems. Instead of taking this property as a weak spot (i.e. in comparison to computational properties of well-defined problems) and trying to work around and hide it, aspectualize and conquer can serve as a framework to turn the diverse complexity of design problems into an opportunity: We see that humans are able to find solutions to design problems and that working with concrete mental and external models that aspectualizing problems is important to their success. The considerations presented here further support this on a theoretical note. We argue that setting the focus on design problems as being ill-defined actually results in too much effort being devoted to the marginal parts of them that happen to be well-defined or to special kinds of problems that are not typical of the problem class. Instead, conceptualizations of problem structure should capture the existing properties adequately and without valuation. Aspectualize and conquer provides such a framework.

-- GeorgVrachliotis - 10 May 2005

Revision r1.4 - 26 May 2005 - 10:32 - GeorgVrachliotis
Parents: WebHome
Copyright © 1999-2003 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.

This website has been archived and is no longer maintained.