| id |
acadia22_736 |
| authors |
Harrison, Paul Howard |
| year |
2022 |
| title |
Parsed Precedent |
| source |
ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 736-741. |
| summary |
This paper describes a method of using rigid-body physics simulation to evaluate the structural stability of AI-generated archways and feed stability data back to a genetic algorithm as fitness criteria. The optimization can consistently find stable versions of most inputs, leveraging the small mutations found in neural-network outputs to find solutions that are novel and performative but also contextual in nature. |
| series |
ACADIA |
| type |
paper |
| email |
ph.harrison@daniels.utoronto.ca |
| full text |
 file.pdf (2,622,349 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/02/06 14:04 |
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