Question

Kozma et al. present a contemporary mathematical model of human behavior under some environmental constraints. How well does their model fit the human performance data? Is their solution algorithm blind overall to error reduction between input and associated output states or is it based on propagation or another Hebbian learning model?

Answer 1

Kozma et al. conducted a study on how the decision making process of people is influenced by environmental factors such as noise, time and source controls. In the study, the participants were asked to play the computer game , Tetris in different conditions with certain limitations, so by observing them the researchers believed that they would know how individuals manage in challenging conditions. In this study, the subject could make their decisions which could lead to various results, so this study is based on the propagation model as the subjects decisions may lead to various outcomes based on the decision they have made.