activity
20042022
most citedDecisions in elections --- transitive or intransitive quantum preferences

32 citations · 88 across the 12 of their papers we have counts for

collaborators

12 papers

q-fin.GN2022★ 11 cited

Transactional Interpretation for the Principle of Minimum Fisher Information

Marcin Makowski, Edward W. Piotrowski, Piotr Frąckiewicz +1

The principle of minimum Fisher information states that in the set of acceptable probability distributions characterizing the given system, it is best done by the one that minimize…

econ.TH2018

Schrödinger type equation for subjective identification of supply and demand

Marcin Makowski, Edward W. Piotrowski, Jan Sładkowski

The present authors have put forward a quantum game theory based model of market prices movements. By using Fisher information, we present a construction of an equation of Schrödin…

q-fin.GN2015

Generalization of the Aoki-Yoshikawa sectoral productivity model based on extreme physical information principle

Ilona Bednarek, Marcin Makowski, Edward W. Piotrowski +2

This paper presents a continuous variable generalization of the Aoki-Yoshikawa sectoral productivity model. Information theoretical methods from the Frieden-Soffer extreme physical…

quant-ph2015★ 15 cited

Do transitive preferences always result in indifferent divisions?

Marcin Makowski, Edward W. Piotrowski, Jan Sładkowski

The transitivity of preferences is one of the basic assumptions used in the theory of games and decisions. It is often equated with rationality of choice and is considered useful i…

q-fin.GN2015

The intensity of the random variable intercept in the sector of negative probabilities

Marcin Makowski, Edward W. Piotrowski, Jan Sładkowski +1

We consider properties of the measurement intensity of a random variable for which the probability density function represented by the corresponding Wigner function attains neg…

physics.data-an2014★ 1 cited

Parameter estimation by fixed point of function of information processing intensity

Rober Jankowski, Marcin Makowski, Edward W. Piotrowski

We present a new method of estimating the dispersion of a distribution which is based on the surprising property of a function that measures information processing intensity. It tu…