From Molecular Robotics to Molecular Cybernetics: The First Step Toward Chemical Artificial Intelligence

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2023-08-10 DOI:10.1109/TMBMC.2023.3304243

Akinori Kuzuya;Shin-Ichiro M. Nomura;Taro Toyota;Takashi Nakakuki;Satoshi Murata

{"title":"From Molecular Robotics to Molecular Cybernetics: The First Step Toward Chemical Artificial Intelligence","authors":"Akinori Kuzuya;Shin-Ichiro M. Nomura;Taro Toyota;Takashi Nakakuki;Satoshi Murata","doi":"10.1109/TMBMC.2023.3304243","DOIUrl":null,"url":null,"abstract":"“Molecular Cybernetics” is an emerging research field aiming the development of “Chemical AI”, artificial intelligence with memory and learning capabilities based on molecular communication. It is originated from “Molecular Robotics,” which studies molecular systems that comprise of the three basic elements of robots; Sensing, Planning, and Acting. Development of an Amoeba-type molecular robot (unicellular artificial cell,) motivated the construction of multicellular artificial cell systems mimicking nerve systems. The major challenges in molecular cybernetics are molecular communication over two lipid-bilayer compartments, amplification of molecular information in a compartment, and large deformation of the compartment triggered by molecular signal, etc. Recently reported molecular devices and systems that contributes to the realization of Chemical AI are overviewed.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 3","pages":"354-363"},"PeriodicalIF":2.4000,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/6687308/10255331/10214301.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10214301/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

“Molecular Cybernetics” is an emerging research field aiming the development of “Chemical AI”, artificial intelligence with memory and learning capabilities based on molecular communication. It is originated from “Molecular Robotics,” which studies molecular systems that comprise of the three basic elements of robots; Sensing, Planning, and Acting. Development of an Amoeba-type molecular robot (unicellular artificial cell,) motivated the construction of multicellular artificial cell systems mimicking nerve systems. The major challenges in molecular cybernetics are molecular communication over two lipid-bilayer compartments, amplification of molecular information in a compartment, and large deformation of the compartment triggered by molecular signal, etc. Recently reported molecular devices and systems that contributes to the realization of Chemical AI are overviewed.

查看原文本刊更多论文

从分子机器人到分子控制论：迈向化学人工智能的第一步

“分子控制论”是一个新兴的研究领域，旨在发展“化学人工智能”，即基于分子通信的具有记忆和学习能力的人工智能。它起源于“分子机器人学”，研究由机器人的三个基本元素组成的分子系统；感知、规划和行动。阿米巴型分子机器人（单细胞人工细胞）的开发推动了模仿神经系统的多细胞人工细胞系统的构建。分子控制论的主要挑战是两个脂质双层隔室的分子通信、隔室中分子信息的放大以及分子信号触发的隔室的大变形等。综述了最近报道的有助于实现化学人工智能的分子设备和系统。

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

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Mathematics-Modeling and Simulation

CiteScore

3.90

自引率

13.60%

发文量

期刊介绍： As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.