Quantum decision-maker theory and simulation

Michail Zak; Ronald E. Meyers; Keith S. Deacon

doi:10.1117/12.391958

13 July 2000 Quantum decision-maker theory and simulation

Michail Zak, Ronald E. Meyers, Keith S. Deacon

Proceedings Volume 4047, Quantum Computing; (2000) https://doi.org/10.1117/12.391958
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Michail Zak, Ronald E. Meyers, and Keith S. Deacon "Quantum decision-maker theory and simulation", Proc. SPIE 4047, Quantum Computing, (13 July 2000); https://doi.org/10.1117/12.391958

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