化学反应扩散介质的信息处理:从计算到视觉

IF 0.7 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
N. G. Rambidi, S. G. Ulyakhin, D. E. Shishlov, V. A. Neganov, A. Tsvetkov
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引用次数: 2

摘要

化学反应扩散介质所代表的信息处理方式与当代数字计算机有着根本的区别。介质所固有的化学反应的分布特性和复杂的非线性动力学是介质作为原语进行大规模并行性和复杂逻辑运算的基础,这些运算相当于数百个二进制不动点运算。控制介质动力学(功能模式)的光敏催化剂可以很容易地进行初始数据的输入和计算结果的输出。在过去的几十年里,人们发现化学反应扩散介质可以有效地用于解决人工智能问题,如图像处理,迷宫中最短路径的寻找,以及其他一些同时也是高计算复杂度问题的重要问题。通过物理刺激对介质进行空间非均匀控制和制造多层次反应扩散系统似乎是实现低成本和有效的信息处理设备以满足商业需求的有前途的方法。反应扩散介质的生物学根源和特定的神经网络结构似乎能够模拟大脑皮层固有的一些现象,如视错觉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
International Journal of Unconventional Computing
International Journal of Unconventional Computing 工程技术-计算机:理论方法
CiteScore
2.00
自引率
11.80%
发文量
0
审稿时长
>12 weeks
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).
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