What if AI Apprentices Outperform Their Human Counterparts?
Abstract
Keywords
References
- Aish, R (2003). Extensible Computational Design Tools for exploratory Architecture, in B Kolarevic(ed) Architecture in the Diigtal Age, Spon Press, New YORK
- Belém, C., Santos, L., & Leitão, A. (2019). On the Impact of Machine Learning. CAAD Futures 19
- Carrara, G., Kalay, Y.E., Novembri, G. (1994). Knowledge-based computational support for architectural design, Automation in Construction, 3 (2–3) , pp. 123-142
- Cross, N. (1984). Developments in Design Methodology, John Wiley and Sons, Chickester, UK
- Cudzik, J., & Radziszewski, K. (2018). “Artificial Intelligence Aided Architectural Design”. p: 77-84, AI For Design And Built Environment - Volume 1 - eCAADe 36
- Dreyfus, H. L. (1972). What Computers Can’t Do: A Critique of Artificial Reason. Harper and Row.
- Dreyfus, H. L. (1992). What Computers Still Can’t Do: A Critique of Artificial Reason. MIT Press.
- Domingos, P. (2015). The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World. Basic Books.
Details
Primary Language
English
Subjects
Architecture
Journal Section
Theoretical Article
Authors
Lale Basarir
*
Türkiye
Publication Date
September 30, 2020
Submission Date
August 25, 2020
Acceptance Date
September 30, 2020
Published in Issue
Year 2020 Volume: 1 Number: 3
