5 research outputs found
Do transitive preferences always result in indifferent divisions?
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 in building rankings. Intransitive preferences are
considered paradoxical and undesirable. This problem is discussed by many
social and natural sciences. The paper discusses a simple model of sequential
game in which two players in each iteration of the game choose one of the two
elements. They make their decisions in different contexts defined by the rules
of the game. It appears that the optimal strategy of one of the players can
only be intransitive! (the so-called \textsl{relevant intransitive
strategies}.) On the other hand, the optimal strategy for the second player can
be either transitive or intransitive. A quantum model of the game using pure
one-qubit strategies is considered. In this model, an increase in importance of
intransitive strategies is observed -- there is a certain course of the game
where intransitive strategies are the only optimal strategies for both players.
The study of decision-making models using quantum information theory tools may
shed some new light on the understanding of mechanisms that drive the formation
of types of preferences.Comment: 16 pages, 5 figure
Quantum stochastic walks on networks for decision-making
Recent experiments report violations of the classical law of total probability and incompatibility of certain mental representations when humans process and react to information. Evidence shows promise of a more general quantum theory providing a better explanation of the dynamics and structure of real decision-making processes than classical probability theory. Inspired by this, we show how the behavioral choice-probabilities can arise as the unique stationary distribution of quantum stochastic walkers on the classical network defined from Luce''s response probabilities. This work is relevant because (i) we provide a very general framework integrating the positive characteristics of both quantum and classical approaches previously in confrontation, and (ii) we define a cognitive network which can be used to bring other connectivist approaches to decision-making into the quantum stochastic realm. We model the decision-maker as an open system in contact with her surrounding environment, and the time-length of the decision-making process reveals to be also a measure of the process'' degree of interplay between the unitary and irreversible dynamics. Implementing quantum coherence on classical networks may be a door to better integrate human-like reasoning biases in stochastic models for decision-making