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Studies in computational intelligence

On Quantum Probability Calculus for Modeling Economic Decisions

Hung T. Nguyen, Songsak Sriboonchitta, Nguyễn Ngọc Thạch

Published Nov 23, 2018• 17 citations
Publisher
DOI
10.1007/978-3-030-04263-9_2

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Support Team

We present a variety of issues in modern economics where applied mathematics is needed. These include economic equilibrium prob- lem where Öxed point theory for Markov operators, and for ordered sets is needed; the emergent Öeld of behavioral economics (Nobel Memorial Prize in Economics 2017) where more mathematical research is needed, for ex- ample, to capture cognitive decision-making, a§ecting economic data, and hence econometric modeling processes. We will focus on a promising venue, namely, quantum probability as a measure of uncertainty, since, unlike Kol- mogorov probability, quantum probability, borrowed from quantum physics, is non-additive and non-commutative, thus avoiding Ellsbergís paradox (of von Neumannís expected utility) and capturing order e§ects of human judge- ments, respectively. Evoking the development of the framework of quantum probability as behavioral probability, as well as a quantum stochastic calculus for, say, Önancial econometrics, we will discuss various important mathemati

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Quantum probability and the mathematical modelling of decision-making

Emmanuel E. Haven, Andrei Yu. Khrennikov

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences•Nov 30, 2015•18 citations
We present a variety of issues in modern economics where applied mathematics is needed. These include economic equilibrium prob- lem where Oxed point theory for Markov operators, and for ordered sets is needed; the emergent Oeld of behavioral economics (Nobel Memorial Prize in Economics 2017) where more mathematical research is needed, for ex- ample, to capture cognitive decision-making, a§ecting economic data, and hence econometric modeling processes. We will focus on a promising venue, namely, quantum probability as a measure of uncertainty, since, unlike Kol- mogorov probability, quantum probability, borrowed from quantum physics, is non-additive and non-commutative, thus avoiding Ellsbergis paradox (of von Neumannis expected utility) and capturing order e§ects of human judge- ments, respectively. Evoking the development of the framework of quantum probability as behavioral probability, as well as a quantum stochastic calculus for, say, Onancial econometrics, we will discuss various important mathemati
We present a variety of issues in modern economics where applied mathematics is needed. These include economic equilibrium prob- lem where Öxed point theory for Markov operators, and for ordered sets is needed; the emergent Öeld of behavioral economics (Nobel Memorial Prize in Economics 2017) where more mathematical research is needed, for ex- ample, to capture cognitive decision-making, a§ecting economic data, and hence econometric modeling processes. We will focus on a promising venue, namely, quantum probability as a measure of uncertainty, since, unlike Kol- mogorov probability, quantum probability, borrowed from quantum physics, is non-additive and non-commutative, thus avoiding Ellsbergís paradox (of von Neumannís expected utility) and capturing order e§ects of human judge- ments, respectively. Evoking the development of the framework of quantum probability as behavioral probability, as well as a quantum stochastic calculus for, say, Önancial econometrics, we will discuss various important mathemati