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Quantum decision-maker theory and simulation

Zak, Michail and Meyers, Ronald E. and Deacon, Keith (2000) Quantum decision-maker theory and simulation. In: Quantum Computing. Proceedings of SPIE. No.4047. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, pp. 97-112. ISBN 9780819436733.

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A quantum device simulating the human decision making process is introduced. It consists of quantum recurrent nets generating stochastic processes which represent the motor dynamics, and of classical neural nets describing the evolution of probabilities of these processes which represent the mental dynamics. The autonomy of the decision making process is achieved by a feedback from the mental to motor dynamics which changes the stochastic matrix based upon the probability distribution. This feedback replaces unavailable external information by an internal knowledge- base stored in the mental model in the form of probability distributions. As a result, the coupled motor-mental dynamics is described by a nonlinear version of Markov chains which can decrease entropy without an external source of information. Applications to common sense based decisions as well as to evolutionary games are discussed. An example exhibiting self-organization is computed using quantum computer simulation. Force on force and mutual aircraft engagements using the quantum decision maker dynamics are considered.

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Additional Information:© 2000 Society of Photo-Optical Instrumentation Engineers (SPIE). The research described in this paper was performed by the Center for Space Microelectronics Technology, Jet Propulsion Laboratory, California Institute of Technology and was sponsored by the National Aeronautics and Space Administration, Office of Space Science and Technology; and the Army Research Laboratory, Adeiphi, Maryland. We thank Mark Angeli Meyers for the scientific typing of this paper.
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Army Research LaboratoryUNSPECIFIED
Series Name:Proceedings of SPIE
Issue or Number:4047
Record Number:CaltechAUTHORS:20181204-132724355
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Official Citation:Michail Zak, Ronald E. Meyers, Keith S. Deacon, "Quantum decision-maker theory and simulation," Proc. SPIE 4047, Quantum Computing, (13 July 2000); doi: 10.1117/12.391958
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:91471
Deposited By: George Porter
Deposited On:05 Dec 2018 21:43
Last Modified:03 Oct 2019 20:35

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