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

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id ecaade2012_318
authors Fioravanti, Antonio ; Loffreda, Gianluigi ; Simeone, Davide ; Trento, Armando
year 2012
title “Divide et Impera” to dramatically and consciously simplify design: The mental/instance path - How reasoning among spaces, components and goals
source Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 1 / ISBN 978-9-4912070-2-0, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 269-278
wos WOS:000330322400027
summary In our times, in a complex and universal village where problems are intertwined and pervasive beyond our imagination, we need new approaches to deal with them – appropriately. In a previous work we highlighted the importance to reason ontologies: a ‘world’ f.i. a building – as a mental image – is not a Linnaeus’s classifi cation (structured set of entities) but a system (goals oriented set of classes) able to reasoning upon selectively chosen entities belonging to different Realms (ontology universes) (Fioravanti et al., 2011a). The general aim of our research– to be an effective aid to design – is to simulate wo/man as designer and user of designed spaces, hence how mental skill can be computably included in new tools able to tackle these problems. This paper is focused on the fi rst role: how actor-designers approach design problems and how the inference mechanism can help them and affect the design process. A ‘Building Object’ - the dual system of Spaces and Technology elements – is inferred in several ways according to different goals and the inference mechanism can, simulating human mental shortcuts, optimize thinking.
keywords Design process; design operational theory; thinking optimization; inferential mechanisms; human-machine collaboration
series eCAADe
full text file.pdf (1,800,853 bytes)
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