معرفی
Agnes Moors is a Professor at KU Leuven's Faculty of Psychology and Educational Sciences, affiliated with the Quantitative Psychology and Individual Differences unit and the Social and Cultural Psychology unit. She serves as member of the KU Leuven Brain Institute, Social and Societal Ethics Committee, and multiple faculty councils including the PPW Faculty Council and Psychology program committees.
Her research centers on the goal-directed theory of emotions, investigating how affective states emerge from goal-relevant discrepancies through computational modeling, behavioral experiments, and neuropsychological methods. Key applications include understanding addiction mechanisms, obsessive-compulsive disorder, depression, and environmental behavior. She develops frameworks for affect dynamics, measurement error in self-reports, and the interplay between goal-directed and stimulus-driven processes in decision-making.
Analysis of her recent publications reveals consistent development of the goal-directed paradigm across theoretical, clinical, and methodological domains. Her work bridges philosophy of emotion with empirical psychology, emphasizing computational approaches to emotion valence, irrationality, and maladaptive behaviors. The 2024-2025 publications show expanding applications to substance use disorders, nature restoration, and ternary goal typologies.
Moors leads multiple funded research projects including Alcohol- and gokverslaving begrijpen vanuit een doelgericht perspectief (2025-2028) as Promotor, Doelgerichte verklaringen van perseveratief gedrag bij OCD (2023-2027), and Affectometrie: Het verbeteren van de meting van affect (2023-2027). Her grants focus on computational modeling, fNIRS brain measurement, and clinical applications of goal-directed theory.
She contributes to the Quantitative Psychology and Individual Differences (QPID) research group and KU Leuven Brain Institute, collaborating on projects involving cognitive modeling, affect measurement, and neuropsychiatric populations. Her work integrates behavioral, computational, and neuroscientific approaches within interdisciplinary teams.