Abstract
The conceptual phase of design plays a crucial role about the overall performance of buildings. Early design choices have repercussions that are seldom controlled by designers in an effective way. More so, when quantities are involved in the decisions. This paper proposes a methodology for decision support during the conceptual design of buildings. The paper introduces a design knowledge representation framework and a computational mean for supporting the exploration of the design space through statistical inference. The proposed methodology is able to perform mixed inferences, combining symbolic and numerical computations.
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Giretti, A., Ansuini, R., Lemma, M. (2015). A Probabilistic Approach to Conceptual Design Support in Architecture. In: Gero, J., Hanna, S. (eds) Design Computing and Cognition '14. Springer, Cham. https://doi.org/10.1007/978-3-319-14956-1_16
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DOI: https://doi.org/10.1007/978-3-319-14956-1_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14955-4
Online ISBN: 978-3-319-14956-1
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