Pattern Formation and Computation by Autonomous Chemical Reaction Diffusion Model Inspired by Cellular Automata

I. Kawamata, Takuto Hosoya, Fumi Takabatake, K. Sugawara, S. Nomura, T. Isokawa, F. Peper, M. Hagiya, S. Murata
{"title":"Pattern Formation and Computation by Autonomous Chemical Reaction Diffusion Model Inspired by Cellular Automata","authors":"I. Kawamata, Takuto Hosoya, Fumi Takabatake, K. Sugawara, S. Nomura, T. Isokawa, F. Peper, M. Hagiya, S. Murata","doi":"10.1109/CANDAR.2016.0046","DOIUrl":null,"url":null,"abstract":"We introduce two autonomous chemical reaction-diffusion models that can emulate the behavior of specific cellular automata. One model conducts formation of a 3-color checker-board pattern using an abstract chemical reaction network. The other model is based on a DNA reaction-diffusion system that is capable of emulating a Turing-complete one-dimensional cellular automaton. These frameworks can be used to systematically program spatiotemporal pattern formation, and thus has a potential for an effective macro-scale control of molecular systems.","PeriodicalId":322499,"journal":{"name":"2016 Fourth International Symposium on Computing and Networking (CANDAR)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Fourth International Symposium on Computing and Networking (CANDAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CANDAR.2016.0046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

We introduce two autonomous chemical reaction-diffusion models that can emulate the behavior of specific cellular automata. One model conducts formation of a 3-color checker-board pattern using an abstract chemical reaction network. The other model is based on a DNA reaction-diffusion system that is capable of emulating a Turing-complete one-dimensional cellular automaton. These frameworks can be used to systematically program spatiotemporal pattern formation, and thus has a potential for an effective macro-scale control of molecular systems.
基于元胞自动机的自主化学反应扩散模型模式形成与计算
我们介绍了两个自主化学反应扩散模型,可以模拟特定元胞自动机的行为。一个模型使用抽象的化学反应网络来形成三色的棋盘图案。另一个模型是基于DNA反应扩散系统,能够模拟图灵完备的一维细胞自动机。这些框架可用于系统地规划时空模式的形成,从而具有有效的分子系统宏观控制的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信