The conceptual phase of building design plays a crucial role about its overall performances. Nevertheless, the repercussion that early choices have on the building performance are seldom controlled by designers in an effective way. More so, when quantities are involved in the decision. This paper proposes a methodology for the development of decision support systems in the building conceptual design process. The paper provides both a conceptual framework for the representation of the design process, and a computational mean, capable of supporting the exploration of the design space through statistical inference. The proposed methodology is able to perform mixed inferences, combining symbolic with numerical computations.
A Probabilistic Approach to Conceptual Design Support in Architecture / Giretti, Alberto; Ansuini, Roberta; Lemma, Massimo. - STAMPA. - (2015), pp. 277-292. (Intervento presentato al convegno Design Computing and Cognition '14) [10.1007/978-3-319-14956-1].