Abstract
Genetics and personality can be determined and assessed in individuals, which can be used to predict behaviours in large groups and possibly individually. This report will describe how to use quantum decision theory (QDT) to predict these behaviours. Genetics and personality correlations to risk-taking using QDT in balloon analogue risk tasks (BART) will be covered in this report. The areas of theory covered will be BART, QDT, QDT in BART, personality correlations to risk-taking in BART, genetic correlations to risk-taking in BART, the models used in these theories and a presentation of new models to use these theories together.This article reviews many other primary research articles, which analyses the correlation between genetics/personality and risk-taking behaviour in BART. This report provides models that use impulsivity, venturesomeness, and genetic traits with QDT, to probabilistically predict decisions in risk-taking behaviour.
Highlights
This review article will focus on the use of quantum decision theory (QDT), along with personality traits and genetic traits, in order to predict individual and group behaviour
Existing research in QDT, personality traits correlated to risk-taking in balloon analogue risk tasks (BART) studies and genetic traits correlated to risk-taking in BART studies will be used to be built upon, to develop new prediction models
This research aimed to explore the ways in which these traits can be added to predictive models of risk-taking behaviour
Summary
This review article will focus on the use of quantum decision theory (QDT), along with personality traits and genetic traits, in order to predict individual and group behaviour. It has been noted that, if, in the process of mutual interactions between the members of the society, the amount of information of a decision-maker increases, the attraction factor diminishes [13] It was shown in a previous BART experiment that there was a good fit between the fixed effect model and the data as well as that the inclusion criteria applied to the studies yielded a homogeneous set of personality studies [4]. The personality trait correlations were positively correlated to risk-taking behaviour, which can be used to probabilistically predict decisions of individuals and groups in certain scenarios These traits can be quantified and inputted into the prediction model created.
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