id |
caadria2024_204 |
authors |
Sun, Mingli, Buš, Peter, Chen, Jianhao and Sun, Kenan |
year |
2024 |
title |
Co-Intelligent Design Toward Modular Structures |
doi |
https://doi.org/10.52842/conf.caadria.2024.3.171
|
source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 3, pp. 171–180 |
summary |
Modular structures with repeating configurations are a common type of building that consists of identical unit components arranged in a specific way. Design reasoning for such structures is an unstructured and unique process that relies on the designer's intuition and rational reasoning. However, repetitive design movements often become time-consuming and energy-draining. In the era of artificial intelligence, a crucial question is whether machines can replicate the design reasoning behaviours of human designers. This research aims to integrate the strength of human unique capabilities, like creativity, intuition, and design skills, with machine-emulating creativity, applied in the modular structure design while addressing production efficiency. It has shown that the Agent can mimic the designer's stacking approach to modular structure design by utilising Generative Adversarial Imitation Learning (GAIL) and Proximal Policy Optimization (PPO). Such a co-intelligent design method facilitates the creation of diverse modular structures. |
keywords |
Design Reasoning, Co-intelligent Design, Modular Structures, Generative Adversarial Imitation Learning |
series |
CAADRIA |
email |
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full text |
file.pdf (4,359,583 bytes) |
references |
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last changed |
2024/11/17 22:05 |
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