Three-body system metaphor for the two-slit experiment and Escherichia coli lactose–glucose metabolism

We compare the contextual probabilistic structures of the seminal two-slit experiment (quantum interference experiment), the system of three interacting bodies and Escherichia coli lactose–glucose metabolism. We show that they have the same non-Kolmogorov probabilistic structure resulting from multi-contextuality. There are plenty of statistical data with non-Kolmogorov features; in particular, the probabilistic behaviour of neither quantum nor biological systems can be described classically. Biological systems (even cells and proteins) are macroscopic systems and one may try to present a more detailed model of interactions in such systems that lead to quantum-like probabilistic behaviour. The system of interactions between three bodies is one of the simplest metaphoric examples for such interactions. By proceeding further in this way (by playing with n-body systems) we shall be able to find metaphoric mechanical models for complex bio-interactions, e.g. signalling between cells, leading to non-Kolmogorov probabilistic data.

[1]  Yoshiharu Tanaka,et al.  Quantum Adaptivity in Biology: From Genetics to Cognition , 2015, Springer Netherlands.

[2]  Yoshiharu Tanaka,et al.  Quantum Information Biology: From Information Interpretation of Quantum Mechanics to Applications in Molecular Biology and Cognitive Psychology , 2015, Foundations of Physics.

[3]  Arkady Plotnitsky,et al.  Are quantum-mechanical-like models possible, or necessary, outside quantum physics? , 2014 .

[4]  Yoshiharu Tanaka,et al.  Violation of contextual generalization of the Leggett–Garg inequality for recognition of ambiguous figures , 2014, 1401.2897.

[5]  A. Khrennikov,et al.  Non-Kolmogorovian Approach to the Context-Dependent Systems Breaking the Classical Probability Law , 2013 .

[6]  Yoshiharu Tanaka,et al.  Quantum-like model of diauxie in Escherichia coli: operational description of precultivation effect. , 2012, Journal of theoretical biology.

[7]  Taksu Cheon,et al.  A nonlinear neural population coding theory of quantum cognition and decision making , 2012 .

[8]  Fabio Bagarello,et al.  Quantum Dynamics for Classical Systems: With Applications of the Number Operator , 2012 .

[9]  Jerome R. Busemeyer,et al.  Quantum Models of Cognition and Decision , 2012 .

[10]  Masanori Ohya,et al.  Quantum-like interference effect in gene expression: glucose-lactose destructive interference , 2011, Systems and Synthetic Biology.

[11]  Taksu Cheon,et al.  Interference and inequality in quantum decision theory , 2010, 1008.2628.

[12]  Andrei Khrennikov,et al.  Ubiquitous Quantum Structure: From Psychology to Finance , 2010 .

[13]  Emmanuel Haven,et al.  Quantum mechanics and violations of the sure-thing principle: The use of probability interference and other concepts , 2009 .

[14]  E. Haven,et al.  Information in asset pricing: a wave function approach , 2009 .

[15]  Emmanuel Haven,et al.  Private Information and the ‘Information Function’: A Survey of Possible Uses , 2008 .

[16]  Emmanuel Haven,et al.  The importance of probability interference in social science: rationale and experiment , 2007, 0709.2802.

[17]  Elena R. Loubenets,et al.  On Relations Between Probabilities Under Quantum and Classical Measurements , 2002, quant-ph/0204001.

[18]  Luigi Accardi,et al.  ON THE EPR–CHAMELEON EXPERIMENT , 2002 .

[19]  Masanori Ohya,et al.  Compound Channels, Transition Expectations, and Liftings , 1999 .

[20]  J. Bell On the Einstein-Podolsky-Rosen paradox , 1964 .

[21]  A. N. Kolmogorov,et al.  Foundations of the theory of probability , 1960 .

[22]  M. Ohya,et al.  Mathematical Foundations of Quantum Information and Computation and Its Applications to Nano- and Bio-systems , 2011 .

[23]  Andrei Khrennikov,et al.  Ubiquitous Quantum Structure , 2010 .

[24]  Richard Phillips Feynman,et al.  The Concept of Probability in Quantum Mechanics , 1951 .