We introduce a synergetic approach incorporating psychological theories and data science
in service of predicting human behavior. Our method harnesses psychological theories to …

Subjective expected utility theory assumes that decision-makers possess unlimited
computational resources to reason about their choices; however, virtually all decisions in …

We have developed a method for learning relative preferences from histories of choices
made, without requiring an intermediate utility computation. Our method infers preferences …

This paper examines the psychological differences between hedonic and utilitarian patterns
of preference behavior. Instead of using latent variables like self-control and emotion to …

We characterize difficulties with both absolute and relative accounts of magnitude
representation in the absolute identification paradigm and present a resolution for these …

The question of whether people store absolute magnitude information or relative local
comparisons of magnitudes has remained unanswered despite persistent efforts over the …