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Computational ability of cells based on cell dynamics and adaptability 中垣, 俊之 83 70300887 Tero, Atsushi 7560 Kobayashi, Ryo 7561 Onishi, Isamu 7562 Miyaji, Tomoyuki 7563 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. 総説・解説など インパクトファクター(0.94) 被引用回数(4) article Ohmsha-Springer 2008 New Generation Computing 1 27 57 81 http://hdl.handle.net/10445/4418 https://fun.repo.nii.ac.jp/records/4184 eng metadata only access