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A Quantum-Like Model of Escherichia coli’s Metabolism Based on Adaptive Dynamics

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Quantum Interaction (QI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7620))

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Abstract

Recently it is pointed out that there exists the experimental data in Escherichia coli’s metabolism which violate the law of total probability in classical probability. In this report, we propose a model which describes such phenomenon based on adaptive dynamics.

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References

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Author information

Authors and Affiliations

  1. Department of Information Sciences, Tokyo University of Science, Yamasaki 2641, Noda-shi, Chiba, 278-8510, Japan

    Masanari Asano, Masanori Ohya & Yoshiharu Tanaka

  2. International Center for Mathematical Modeling in Physics and Cognitive Sciences, Linnaeus University, S-35195, Växjö, Sweden

    Irina Basieva & Andrei Khrennikov

  3. Department of Biological Science and Technology, Tokyo University of Science, Yamasaki 2641, Noda-shi, Chiba, 278-8510, Japan

    Ichiro Yamato

Authors
  1. Masanari Asano
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  2. Irina Basieva
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  3. Andrei Khrennikov
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  4. Masanori Ohya
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  5. Yoshiharu Tanaka
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  6. Ichiro Yamato
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Editor information

Editors and Affiliations

  1. Indiana University, 47405, Bloomington, IN, USA

    Jerome R. Busemeyer

  2. Conservatoire National des Arts et M’etiers, 75003, Paris, France

    François Dubois

  3. Paris School of Economics, 75014, Paris, France

    Ariane Lambert-Mogiliansky

  4. University of Padua, 35131, Padua, Italy

    Massimo Melucci

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© 2012 Springer-Verlag Berlin Heidelberg

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Asano, M., Basieva, I., Khrennikov, A., Ohya, M., Tanaka, Y., Yamato, I. (2012). A Quantum-Like Model of Escherichia coli’s Metabolism Based on Adaptive Dynamics. In: Busemeyer, J.R., Dubois, F., Lambert-Mogiliansky, A., Melucci, M. (eds) Quantum Interaction. QI 2012. Lecture Notes in Computer Science, vol 7620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35659-9_6

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  • DOI: https://doi.org/10.1007/978-3-642-35659-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35658-2

  • Online ISBN: 978-3-642-35659-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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