id |
acadia13_199 |
authors |
Meyboom, AnnaLisa; Reeves, Dave |
year |
2013 |
title |
Stigmergic Space |
doi |
https://doi.org/10.52842/conf.acadia.2013.200
|
source |
ACADIA 13: Adaptive Architecture [Proceedings of the 33rd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-926724-22-5] Cambridge 24-26 October, 2013), pp. 200-206 |
summary |
This paper presents a multi-agent approach to space planning. Using the algorithm as a primary design tool, it posits to model an active site of programmable collective intelligence—one that is able to inform its own development internally. The mechanisms of self-organization from ants, termites, slime molds and other social organisms are examined and adapted to solve spatial adjacencies amongst elements of a given programmatic brief. Spatial organization becomes the emergent product of a competitive ecology. The task of space planning, one that is typically carried out by a singular high-level decision-maker (the architect, is approached through the distributed decision-making of low-level collective intelligence. This approach facilitates the design of a problem with high levels of complexity and competing requirements. |
keywords |
agent-based, collective intelligence, parametric, stigmergy, cybernetic ecology |
series |
ACADIA |
type |
Normal Paper |
email |
|
full text |
file.pdf (1,494,670 bytes) |
references |
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last changed |
2022/06/07 07:58 |
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