BIM and AI – along with other cutting-edge technologies – are converging towards a data-rich, sematic approach to modelling and design. We analyse some of the current uses of AI in combination with BIM technology, as well as some very recent approaches which may disrupt the paradigms in use within the AEC field. The most promising features suggest a huge potential for liberating the designers from the most repetitive tasks and even endow them with a whole baggage of best practices, as dynamically emerging from the available data stored in BIM models and elaborated by AI. However, in order to achieve this, some issues must be dealt with, especially as regards the knowledge sharing framework. Furthermore, the potentialities of AI in the field of architecture poses questions about the function, goals and ultimately the role of (human) designers in the world of AI-aesthetics and practice.

AI-BIM Interdisciplinary Spill-Overs: Prospected Interplay of AI and BIM Development Paradigms

D. Villa;L. Ceccon
2020-01-01

Abstract

BIM and AI – along with other cutting-edge technologies – are converging towards a data-rich, sematic approach to modelling and design. We analyse some of the current uses of AI in combination with BIM technology, as well as some very recent approaches which may disrupt the paradigms in use within the AEC field. The most promising features suggest a huge potential for liberating the designers from the most repetitive tasks and even endow them with a whole baggage of best practices, as dynamically emerging from the available data stored in BIM models and elaborated by AI. However, in order to achieve this, some issues must be dealt with, especially as regards the knowledge sharing framework. Furthermore, the potentialities of AI in the field of architecture poses questions about the function, goals and ultimately the role of (human) designers in the world of AI-aesthetics and practice.
2020
From Building Information Modelling to Mixed Reality
978-3-030-49277-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1143213
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