« The Statistical Physics of Psychological Networks: Zero Matters »
Conférence de Han van der Mas (University of Amsterdam) dans le cadre du Colloquium du département d'Etudes Cognitives de l'ENS-PSL.
Psychological network theories provide an important alternative to traditional common cause theories, such as the g-theory of general intelligence and brain-based explanations of depression. Network theories, which are often formalized using the Ising model from statistical physics, have gained significant empirical support. However, the binary nature of nodes in Ising-type models presents a limitation, as many psychological datasets include responses with uncertain or neutral categories (e.g., "don't know" or "not relevant"). Ternary spin models, such as the Blume-Capel model, overcome this constraint by incorporating a third node state, zero, that can represent such responses, enabling more nuanced scale representations. The resulting models exhibit more complex dynamics and provide new insights into research across a range of psychological constructs. We illustrate our approach with examples from three key subdisciplines of psychology. First, we introduce a ternary spin m! odel for attitudes, extending the Ising attitude model. Next, we propose a unified framework encompassing both bipolar disorder and major depressive disorder. Finally, we present a novel ternary network model for understanding knowledge acquisition.
Catégories: Colloquium du DEC
Mot-clés : cerveau, réseau, physique statistique, psychologie des réseaux
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University of Amsterdam
Professeur de méthodes psychologiques
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Han van der Maas (University of Amsterdam) est professeur de méthodes psychologiques au département de psychologie de l'université d'Amsterdam et professeur émérite de recherche en systèmes complexes dans les sciences sociales et comportementales.
Il est également membre externe du corps professoral du Santa Fe Institute et chercheur principal et membre du conseil d'administration de l'Institute of Advanced Study de l'université d'Amsterdam.
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