| id |
caadria2017_063 |
| authors |
Ma, Yidong and Xu, Weiguo |
| year |
2017 |
| title |
Physarealm - A Bio-inspired Stigmergic Algorithm Tool for Form-Finding |
| source |
P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 499-508 |
| doi |
https://doi.org/10.52842/conf.caadria.2017.499
|
| summary |
Physarum Polycephalum is a widespread eukaryotic microbe capable of producing effective networks between food particles to solve spatial planning problems. This paper investigates a previous algorithm for simulating Physarum Polycephalum. An open-source tool named Physarealm is developed for simulation in Rhino's graphical algorithm editor, Grasshopper. The tool adopts a previous stigmergic multi-agent algorithm for simulation and expands its boundary into three dimensions. In addition, this tool adds some custom rules, thus giving the designer more creative control over the produced results. Two research projects have applied this tool in the design process. The first project mainly takes advantage of the tool's path-planning ability, while the second one utilizes its aesthetic values, demonstrating the potential of the tool for further applications. |
| keywords |
stigmergy; multi-agent systems; form finding; computation; biomimicry |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (2,014,884 bytes) |
| references |
Content-type: text/plain
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Adamatzky, A (2007)
 Physarum machines: encapsulating reaction--diffusion to compute spanning tree
, Naturwissenschaften, 94(12), pp 975-980
|
|
|
|
|
Dorigo, M, Birattari, M and Stutzle, T (2006)
Ant colony optimization
, IEEE computational intelligence magazine, 1(4), pp 28-39
|
|
|
|
|
Jones, J (2015)
From Pattern Formation to Material Computation: Multi-agent Modelling of Physarum Polycephalum
, Springer
|
|
|
|
|
Meyboom, AL and Reeves, D (2013)
Stigmergic Space
, Proceedings of the 33rd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA), pp 200-206
|
|
|
|
|
Nakagaki, T, Yamada, H and Toth, A (2000)
Intelligence: Maze-solving by an amoeboid organism
, Nature, 407(6803), pp 470-470
|
|
|
|
|
Tero, A, Kobayashi, R and Nakagaki, T (2007)
A mathematical model for adaptive transport network in path finding by true slime mold
, Journal of theoretical biology, 244(4), pp 553-564
|
|
|
|
|
Tero, A, Takagi, S, Saigusa, T, Ito, K, Bebber, DP, Fricker, MD, Yumiki, K, Kobayashi, R and Nakagaki, T (2010)
Rules for biologically inspired adaptive network design
, Science, 327(5964), pp 439-442
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| last changed |
2022/06/07 07:59 |
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