Abstract
The challenge of this work is to connect physics with the concept of intelligence. By intelligence we understand a capability to move from disorder to order without external resources, i.e., in violation of the second law of thermodynamics. The objective is to find such a mathematical object described by ODE that possesses such a capability. The proposed approach is based upon modification of the Madelung version of the Schrodinger equation by replacing the force following from quantum potential with non-conservative forces that link to the concept of information. A mathematical formalism suggests that a hypothetical intelligent particle, besides the capability to move against the second law of thermodynamics, acquires such properties like self-image, self-awareness, self-supervision, etc. that are typical for Livings. However since this particle being a quantum-classical hybrid acquires non-Newtonian and non-quantum properties, it does not belong to the physics matter as we know it: the modern physics should be complemented with the concept of the information force that represents a bridge to intelligent particle. As a follow-up of the proposed concept, the following question is addressed: can artificial intelligence (AI) system composed only of physical components compete with a human? The answer is proven to be negative if the AI system is based only on simulations, and positive if digital devices are included. It has been demonstrated that there exists such a quantum neural net that performs simulations combined with digital punctuations. The universality of this quantum-classical hybrid is in capability to violate the second law of thermodynamics by moving from disorder to order without external resources. This advanced capability is illustrated by examples. In conclusion, a mathematical machinery of the perception that is the fundamental part of a cognition process as well as intelligence is introduced and discussed.
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References
Schrödinger, E.: What is Life. Cambridge University Press, 1944102. Zak, M., (2013)
Whitham, G.: Linear and Nonlinear Waves. Wiley, New York (1974)
Zak, M.: Terminal model of Newtonian dynamics. Int. J. Theor. Phys. 32, 159–190 (1992)
Zak, M.: Quantum analog computing. Chaos Solitons Fractals 10(10), 1583–1620 (1999)
Barlett, M.: An Introduction to Stochastic Processes. Cambridge University Press, New York (1956)
Zak, M.: Quantum model of emerging grammars. Chaos Soliton Fractals 11(14), 2325–2330 (2000)
Zak, M.: Quantum decision-maker. Inf. Sci. 128, 199–215 (2000)
Zak, M.: Hidden statistics of Schrodinger equation. Phys. Assays 22, 2 (2009)
Zak, M.: Quantum-inspired maximizer. J. Math. Phys. 49, 042702 (2008)
Zak, M.: From quantum mechanics to intelligence. EJTP 12(32), 295–320 (2015)
Ghirardi, G., Romano, R.: Collapse Models and Perceptual Processes (2014). arXiv:1401.3773v1
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I can calculate the motion of heavenly bodies, but not the madness of people.
Isaac Newton
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Zak, M. Non-Newtonian Aspects of Artificial Intelligence. Found Phys 46, 517–553 (2016). https://doi.org/10.1007/s10701-015-9977-3
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DOI: https://doi.org/10.1007/s10701-015-9977-3