Artificial Intelligence in Architecture and Development of the Built Environment: From Misconceptions to Productive Prospects by Michal Šourek

Artificial intelligence invades our lives and professions at an ever-increasing pace and intensity. Architecture, the built environment, and real estate have been joining the trend only timidly and belatedly. The record of some of the most recent "famous achievements" in the field is set straight and challenged, the flawed idea of a (truly) creative potential of the technology is debunked. Its roots equidistributed both in a farsighted vision of the next workflow of both productive and creative architectural designing and state-of-the-art of machine learning, an ambitious though realistic blueprint for R&D of AI-fostered architectural creativity, building design and planning, and development of the built environment is tabled for discussion. The attention turns to open-source patterns platforms, generative patterns processing, generative pre-design, parametric evaluation and optimization, latest achievements building on reinforcement learning, imitation-based learning, learning a behavior policy from demonstration, and self-learning paradigms zooming in on the designdevelopment processes instead of only on their results. Leveraging the objectivity of assessments and streamlining workflows, artificial intelligence promises to unleash true architectural creativity and leverage the productivity and efficiency of the design- and planning processes. Finally, a chance for architecture to come back from the sidelines to the position needed to provide society with what it lacks in terms of quality of life, social- and cultural values, sustainable development, and comprehensive resilience as well as to heal the profession renders if artificial intelligence understood, grasped, and developed adequately by architects, real estate developers and agents, and information technologies researchers and developers hand closely in hand.


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