In this talk, I will give an overview of the research in my group on a nonlinear stochastic dynamical model that we have proposed to explain some particular features of human affective experience. First, the basic principles behind the model will be explained. Second, applications of the model to observational data (obtained through the Experience Sampling Method) and experimental data (using a gambling paradigm) will be discussed. I will conclude with some remaining challenges.








Francis Tuerlinckx
Research Group of Quantitative Psychology and Individual Differences
Faculty of Psychology and Educational Sciences
KU Leuven, Belgium

Francis Tuerlinckx – The Affective Ising Model: A nonlinear stochastic dynamical model for human affect