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Please use this identifier to cite or link to this item: http://hdl.handle.net/10445/4418

Title: Computational ability of cells based on cell dynamics and adaptability
Authors: Nakagaki, Toshiyuki
Tero, Atsushi
Kobayashi, Ryo
Onishi, Isamu
Miyaji, Tomoyuki
Abstract: Learning how biological systems solve problems could help to design new methods of computation. Information processing in simple cellular organisms is interesting, as they have survived for almost 1 billion years using a simple system of information processing. Here we discuss a well-studied model system: the large amoeboid Physarum plasmodium. This well-studied model system: the large amoeboid Physarum plasmodium. This amoeba can find approximate solutions for combinatorial optimization problems, such as solving a maze or a shortest network problem. In this report, we describe problem solving by the amoeba, and the computational methods that can be extracted from biological behaviors. The algorithm designed based on Physarum is both simple and useful.
Research Achievement Classification: アカデミックな活動/Academic Activity
Type: Article
Peer Review: なし/no
Solo/Joint Author(s): 共著/joint
Published journal or presented
academic conference: 
New Generation Computing
Volume: 27
Number: 1
Spage: 57
Epage: 81
Date: 2008
Publisher: Ohmsha-Springer
Appears in Collections:Nakagaki Toshiyuki

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