Summary
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The project [DesignSpace] aims to develop computational techniques and tools that may be used as a basis of providing assistive design intelligence within a conventional spatial and architectural design workflow. Such a workflow typically involves an iterative refinement cycle consisting of the modelling -- evaluation -- re-modelling phases. Such capability in spatial design is essential to reduce design errors and failures by iterative design validation and verification, and also to ensure that functional requirements of a design are met when the design is deployed in reality; we are especially interested in the relationship between ``structural form and function'' and its formal interpretation within the assistance system. Our long-term goal in this project is to develop a methodology that is able to detect requirement inconsistencies in the preliminary CAD design and communicate them back to the designer. This also includes the ability to perform diagnosis, and the derivation of alternate recommendations that do not violate the explicit and implied requirement constraints of the designer or architect. Intial studies have investigated this for the specific case where the new generation of smart environments and building-automation systems are being designed.
Project [DesignSpace] is a strategic initative within the SFB/TR 8 Center: In addition to addressing its stated scientific goals, the project places significant emphasis on performing an integrative role in the context of ongoing activities within SFB/TR 8, as well as having a strategic impact with respect to the planned activities of the collaborating projects. Presently, within the SFB, [DesignSpace] identifies / conducts collabortive activities with Projects R1-[ImageSpace], R3-[Q-Shape], R6-[SpaceGuide] and I1-[OntoSpace] of the SFB/TR 8 Center, and the BAALL Lab of DFKI Bremen.
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