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Adaptive Dynamics and Its Application to Context Dependent Systems Breaking the Classical Probability Law

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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

There exist several phenomena (systems) breaking the classical probability laws. In this report, we present a new mathematical formula to compute the probability in those context dependent systems by using the concepts of the adaptive dynamics and the lifting.

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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). Adaptive Dynamics and Its Application to Context Dependent Systems Breaking the Classical Probability Law. 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_15

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  • DOI: https://doi.org/10.1007/978-3-642-35659-9_15

  • 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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