Physarum inspires research beyond biomimetic algorithms: Reply to comments on “Does being multi-headed make you better at solving problems?”

Chao Gao; Chen Liu; Daniel Schenz; Xuelong Li; Zili Zhang; M. Jusup; Zhen Wang; Madeleine Beekman; Toshiyuki Nakagaki

doi:10.1016/j.plrev.2019.07.002

Physarum inspires research beyond biomimetic algorithms: Reply to comments on “Does being multi-headed make you better at solving problems?”

Chao Gao
, Chen Liu
, Daniel Schenz
, Xuelong Li
, Zili Zhang
, M. Jusup
, Zhen Wang
, Madeleine Beekman
, Toshiyuki Nakagaki

网络空间安全学院

Southwest University
Northwestern Polytechnical University Xian
Hokkaido University
CAS - Xi'an Institute of Optics and Precision Mechanics
Institute of Science Tokyo
The University of Sydney

科研成果: 期刊稿件 › 评论/辩论

3 引用（Scopus）

摘要

We look at a recent expansion of Physarum research from inspiring biomimetic algorithms to serving as a model organism in the evolutionary study of perception, memory, learning, and decision making.

源语言	英语
页（从-至）	51-54
页数	4
期刊	Physics of Life Reviews
卷	29
DOI	https://doi.org/10.1016/j.plrev.2019.07.002
出版状态	已出版 - 7月 2019

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10.1016/j.plrev.2019.07.002

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title = "Physarum inspires research beyond biomimetic algorithms: Reply to comments on {\textquotedblleft}Does being multi-headed make you better at solving problems?{\textquotedblright}",

abstract = "We look at a recent expansion of Physarum research from inspiring biomimetic algorithms to serving as a model organism in the evolutionary study of perception, memory, learning, and decision making.",

keywords = "Biomimicry, Evolution, Learning, Memory, Minimal cognition",

author = "Chao Gao and Chen Liu and Daniel Schenz and Xuelong Li and Zili Zhang and M. Jusup and Zhen Wang and Madeleine Beekman and Toshiyuki Nakagaki",

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AU - Gao, Chao

AU - Liu, Chen

AU - Schenz, Daniel

AU - Li, Xuelong

AU - Zhang, Zili

AU - Jusup, M.

AU - Wang, Zhen

AU - Beekman, Madeleine

AU - Nakagaki, Toshiyuki

PY - 2019/7

Y1 - 2019/7

N2 - We look at a recent expansion of Physarum research from inspiring biomimetic algorithms to serving as a model organism in the evolutionary study of perception, memory, learning, and decision making.

AB - We look at a recent expansion of Physarum research from inspiring biomimetic algorithms to serving as a model organism in the evolutionary study of perception, memory, learning, and decision making.

KW - Biomimicry

KW - Evolution

KW - Learning

KW - Memory

KW - Minimal cognition

UR - https://www.scopus.com/pages/publications/85068755180

U2 - 10.1016/j.plrev.2019.07.002

DO - 10.1016/j.plrev.2019.07.002

M3 - 评论/辩论

C2 - 31307950

AN - SCOPUS:85068755180

SN - 1571-0645

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JO - Physics of Life Reviews

JF - Physics of Life Reviews

ER -

Physarum inspires research beyond biomimetic algorithms: Reply to comments on “Does being multi-headed make you better at solving problems?”

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