Rules for Biologically Inspired Adaptive Network Design
Science Volume 327 Issue 5964
Page 439-422
published_at 2010-01-22
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| File | |
| Title ( eng ) |
Rules for Biologically Inspired Adaptive Network Design
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| Creator |
Tero Atsushi
Takagi Seiji
Saigusa Tetsu
Bebber Dan P
Fricker Mark D
Yumiki Kenji
Nakagaki Toshiyuki
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| Source Title |
Science
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| Volume | 327 |
| Issue | 5964 |
| Start Page | 439 |
| End Page | 422 |
| Abstract |
Transport networks are ubiquitous in both social and biological systems. Robust network performance involves a complex trade-off involving cost, transport efficiency, and fault tolerance. Biological networks have been honed by many cycles of evolutionary selection pressure and are likely to yield reasonable solutions to such combinatorial optimization problems. Furthermore, they develop without centralized control and may represent a readily scalable solution for growing networks in general. We show that the slime mold Physarum polycephalum forms networks with comparable efficiency, fault tolerance, and cost to those of real-world infrastructure networks-in this case, the Tokyo rail system. The core mechanisms needed for adaptive network formation can be captured in a biologically inspired mathematical model that may be useful to guide network construction in other domains.
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| NDC |
Biology [ 460 ]
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| Language |
eng
|
| Resource Type | journal article |
| Publisher |
American Association for the Advancement of Science
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| Date of Issued | 2010-01-22 |
| Rights |
Copyright (c) 2010 American Association for the Advancement of Science
|
| Publish Type | Author’s Original |
| Access Rights | open access |
| Source Identifier |
[ISSN] 0036-8075
[DOI] 10.1126/science.1177894
[NCID] AA00835277
[DOI] http://dx.doi.org/10.1126/science.1177894
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