DSpace

Future University Hakodate Academic Archive >
Faculty and Students >
Dept. of Complex and Intelligent Systems >
Nakagaki Toshiyuki >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10445/4412

Title: Adaptive biological networks
Authors: Gross, T.
Sayama, H.
Fricker, Mark D.
Boddy, Lynne
Nakagaki, Toshiyuki
Bebber, Daniel
Abstract: Mycelial fungi and acellular slime molds grow as self-organized networks that explore new territory to search for resources, whilst maintaining an effective internal transport system in the face of continuous attack or random damage. These networks adapt during development by selective reinforcement of major transport routes and recycling of the intervening redundant material to support further extension. In the case of fungi, the predicted transport efficiency of the weighted network is betterthan evenly weighted networks with the same topology, or standard reference networks. Experimentally nutrient movement can be mapped using radiotracers and scintillation imaging, and shows more complex transport dynamics, with synchronized oscillations and switching between different pre-existing routes. The significance of such dynamics to the interplay between transport control and topology is not yet known. In a similar manner, the resilience of the network can be tested in silico and experimentally using grazing insects. Both approaches suggest that the same structures that confer good transport efficiency also show good resilience, with the persistence of a centrally connected core. The acellular slime mold, Physarum polycephalum also forms efficient networks between food sources, with a good balance between total cost, transit distance and fault tolerance. In this case, network formation can be captured by a mathematical model driven by non-linear positive inforcement of tubes with high flux and decay of tubes with low flux. We argue that organization of these simple planar networks has been honed by evolution, and they may exemplify potential solutions to real-world compromises between search strategy, transport efficiency, resilience and cost in other domains.
Research Achievement Classification: 著書/Book
Type: Book
Peer Review: なし/no
Solo/Joint Author(s): 共著/joint
Published journal or presented
academic conference: 
Adaptive Networks: Theory, Models and Applications [Edited by T. Gross and H. Sayama]
Spage: 51
Epage: 70
Date: 2009
Publisher: Springer-Verlag
Appears in Collections:Nakagaki Toshiyuki

Files in This Item:

There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Copyright © 2010-2012 FUTURE UNIVERSITY HAKODATE.
DSpace Software Copyright © 2002-2010  Duraspace