Modeling of function of biological internal fluctuation and its application to adaptive system

生物内部波动函数建模及其在自适应系统中的应用

基本信息

  • 批准号:
    03680021
  • 负责人:
  • 金额:
    $ 1.28万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for General Scientific Research (C)
  • 财政年份:
    1991
  • 资助国家:
    日本
  • 起止时间:
    1991 至 1992
  • 项目状态:
    已结题

项目摘要

The adaption scheme of " artificial biological particle" we proposed in this research is schematically shown in Fig.1. Here the particle is assumed to have a probabilistic internal source of fluctuation which controls the motion of the particle through actuator. The particle behaves like a Brownian particle moved by internal fluctuation. The sensored information of external field is used as an input to the source of spontaneous fluctuation in order to generate the control signal for the motion. Even if the input is fixed the output fluctuates because of the probabilistic property of the fluctuation source. The desired input-output probabilistic relation for given environmental field is gradually built by trial and error through the learning ability of the fluctuation source;i) the adaptability of the motion indicated by a control is evaluated and feedback to the fluctuation source; ii) if a control gives rise to an adapted motion to external field, then the fluctuation source is recognized so as to generate the control more frequently. The more abundant the patterns of fluctuation are, the more flexible the adaptation of the particle are.
本研究提出的“人工生物粒子”适应方案示意图如图1所示。在这里,粒子被假定为具有概率的内部波动源,其通过致动器控制粒子的运动。粒子的行为类似于布朗粒子的内部波动。外场的传感信息被用作自发波动源的输入,以便产生用于运动的控制信号。即使输入是固定的,由于波动源的概率特性,输出也会波动。通过波动源的学习能力,通过试错逐渐建立给定环境场的期望输入-输出概率关系;i)评估由控制指示的运动的适应性并反馈给波动源; ii)如果控制引起对外场的适应运动,则识别波动源,以便更频繁地产生控制。涨落模式越丰富,粒子的适应性就越灵活。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
M.AGA K.YAMANAKA: "Adaptive behauiour based on neural fluctuations in a model of aritifical biological particle" Proceedings of the J.SMBE Professional Grup Heeting on Nearo Information. 5-14 (1993)
M.AGA K.YAMANAKA:“基于人工生物粒子模型中的神经波动的自适应行为”Nearo Information 上的 J.SMBE 专业组会议记录。
  • DOI:
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  • 期刊:
  • 影响因子:
    0
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  • 通讯作者:
M.AGu K.Yamanaka: "A Model of Adaptive Motion of a particle in on Unknown Field" International Symposium on Mathematical Theory of Networks and Systems,Kobe,1991.
M.AGu K.Yamanaka:“未知场中粒子的自适应运动模型”网络与系统数学理论国际研讨会,神户,1991。
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    0
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M.Agu,K Maeda,K.Yamanaka: "Adaptiue behavior based on neural flactuations in a model of artificial biological particles" Proceeding of the JSMBE Professional Group Meeting on Neuro Information Processing in Medical Engineering (日本ME学会). 1. 5-14 (1993)
M.Agu、K Maeda、K.Yamanaka:“人工生物粒子模型中基于神经波动的自适应行为”医学工程神经信息处理 JSMBE 专业组会议记录(日本 ME 协会)。 14 (1993)
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    0
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M.AGU K.Yamanaka: "A Model of the Induction Process in the way of thinking Based on Random Excitation patterns of Neural Elements" Books:Physics of Living state.
M.AGU K.Yamanaka:“基于神经元随机激励模式的思维方式归纳过程模型”书籍:生命状态物理学。
  • DOI:
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    0
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M.AGu K.Yamanaka: "A Concept of “Biological Particle"which can adapt to external environment using internal spontaneous fluctuation" Proceedings of the International Conference on Noise in Physical System and 1/f Fluctuations,Kyoto,1991. ICNF91. 531-534 (
M.AGu K.Yamanaka:“可以利用内部自发波动适应外部环境的“生物粒子”概念”物理系统噪声和 1/f 波动国际会议记录,京都,1991。ICNF91.531- 534(
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    0
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AGU Masahiro其他文献

AGU Masahiro的其他文献

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{{ truncateString('AGU Masahiro', 18)}}的其他基金

Elucidation of the function of the 1/f fluctuation which is related to adaptiogenesis and stability of complex systems and its engineering applications
复杂系统适应发生和稳定性相关的1/f涨落作用的阐明及其工程应用
  • 批准号:
    10650423
  • 财政年份:
    1998
  • 资助金额:
    $ 1.28万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Research on Electrical Resistivity Prospection for Archeology
考古电阻率勘探研究
  • 批准号:
    05205102
  • 财政年份:
    1992
  • 资助金额:
    $ 1.28万
  • 项目类别:
    Grant-in-Aid for Scientific Research on Priority Areas

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