N. G. Rambidi, S. G. Ulyakhin, D. E. Shishlov, V. A. Neganov, A. Tsvetkov
{"title":"化学反应扩散介质的信息处理:从计算到视觉","authors":"N. G. Rambidi, S. G. Ulyakhin, D. E. Shishlov, V. A. Neganov, A. Tsvetkov","doi":"10.4018/978-1-60960-551-3.CH018","DOIUrl":null,"url":null,"abstract":"Chemical reaction-diffusion media represent information processing means fundamentally different from contemporary digital computers. Distributed character and complex nonlinear dynamics of chemical reactions inherent in the medium are the basis for large-scale parallelism and complex logical operations performed by the medium as primitives and equivalent to hundreds of binary fixed-point operations. Photo-sensitive catalysts controlling dynamics (modes of functioning) of the medium enable to easily perform input of initial data and output of computational results. It was found during the last decades that chemical reaction-diffusion media can be effectively used for solving artificial intelligence problems, such as image processing, finding the shortest paths in a labyrinth, and some other important problems that are at the same time problems of high computational complexity. Spatially non uniform control of the medium by physical stimuli and fabrication of multi level reaction-diffusion systems seem to be the promising way of enabling low cost and effective information processing devices that meet the commercial needs. Biological roots and specific neural net architecture of reaction-diffusion media seem to enable simulating some phenomena inherent in the cerebral cortex, such as optical illusions.","PeriodicalId":54937,"journal":{"name":"International Journal of Unconventional Computing","volume":"37 1","pages":"129-163"},"PeriodicalIF":0.7000,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Information Processing by Chemical Reaction-Diffusion Media: From Computing to Vision\",\"authors\":\"N. G. Rambidi, S. G. Ulyakhin, D. E. Shishlov, V. A. Neganov, A. Tsvetkov\",\"doi\":\"10.4018/978-1-60960-551-3.CH018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Chemical reaction-diffusion media represent information processing means fundamentally different from contemporary digital computers. Distributed character and complex nonlinear dynamics of chemical reactions inherent in the medium are the basis for large-scale parallelism and complex logical operations performed by the medium as primitives and equivalent to hundreds of binary fixed-point operations. Photo-sensitive catalysts controlling dynamics (modes of functioning) of the medium enable to easily perform input of initial data and output of computational results. It was found during the last decades that chemical reaction-diffusion media can be effectively used for solving artificial intelligence problems, such as image processing, finding the shortest paths in a labyrinth, and some other important problems that are at the same time problems of high computational complexity. Spatially non uniform control of the medium by physical stimuli and fabrication of multi level reaction-diffusion systems seem to be the promising way of enabling low cost and effective information processing devices that meet the commercial needs. Biological roots and specific neural net architecture of reaction-diffusion media seem to enable simulating some phenomena inherent in the cerebral cortex, such as optical illusions.\",\"PeriodicalId\":54937,\"journal\":{\"name\":\"International Journal of Unconventional Computing\",\"volume\":\"37 1\",\"pages\":\"129-163\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2006-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Unconventional Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-60960-551-3.CH018\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Unconventional Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.4018/978-1-60960-551-3.CH018","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
Information Processing by Chemical Reaction-Diffusion Media: From Computing to Vision
Chemical reaction-diffusion media represent information processing means fundamentally different from contemporary digital computers. Distributed character and complex nonlinear dynamics of chemical reactions inherent in the medium are the basis for large-scale parallelism and complex logical operations performed by the medium as primitives and equivalent to hundreds of binary fixed-point operations. Photo-sensitive catalysts controlling dynamics (modes of functioning) of the medium enable to easily perform input of initial data and output of computational results. It was found during the last decades that chemical reaction-diffusion media can be effectively used for solving artificial intelligence problems, such as image processing, finding the shortest paths in a labyrinth, and some other important problems that are at the same time problems of high computational complexity. Spatially non uniform control of the medium by physical stimuli and fabrication of multi level reaction-diffusion systems seem to be the promising way of enabling low cost and effective information processing devices that meet the commercial needs. Biological roots and specific neural net architecture of reaction-diffusion media seem to enable simulating some phenomena inherent in the cerebral cortex, such as optical illusions.
期刊介绍:
The International Journal of Unconventional Computing offers the opportunity for rapid publication of theoretical and experimental results in non-classical computing. Specific topics include but are not limited to:
physics of computation (e.g. conservative logic, thermodynamics of computation, reversible computing, quantum computing, collision-based computing with solitons, optical logic)
chemical computing (e.g. implementation of logical functions in chemical systems, image processing and pattern recognition in reaction-diffusion chemical systems and networks of chemical reactors)
bio-molecular computing (e.g. conformation based, information processing in molecular arrays, molecular memory)
cellular automata as models of massively parallel computing
complexity (e.g. computational complexity of non-standard computer architectures; theory of amorphous computing; artificial chemistry)
logics of unconventional computing (e.g. logical systems derived from space-time behavior of natural systems; non-classical logics; logical reasoning in physical, chemical and biological systems)
smart actuators (e.g. molecular machines incorporating information processing, intelligent arrays of actuators)
novel hardware systems (e.g. cellular automata VLSIs, functional neural chips)
mechanical computing (e.g. micromechanical encryption, computing in nanomachines, physical limits to mechanical computation).