Objectif Human behavior is commonly understood as emerging from a struggle between will and habit, i.e. between “intentional” processes driven by the current goal and “automatic” processes driven by available stimuli. This scenario suggests that it is mainly the goal-related processes that render behavior adaptive. Based on a novel theoretical framework (the Metacontrol State Model, combined with the Theory of Event Coding) that is motivated by recent behavioral and neuroscientific observations, I suggest an alternative view and argue that people can control the relative contributions of goal-driven and stimulus-driven processes to decision-making and action selection. In particular, people regulate the interaction between these processes by determining the ratio between (goal) persistence and flexi-bility, depending on task, situation, and personal experience—a process that I refer to as “metacontrol”. The project aims to identify and trace individual “metacontrol policies” (biases towards persistence or flexibility) and task- and condition-specific changes therein by means of behavioral, computational, and neuroscientific techniques, and by using virtual-reality methods. I shall study, account for, and try predicting individual differences in the choice and implementation of such policies, identify and explain the cognitive and social consequences of adopting a particular policy, and investigate whether and how people can adopt meta¬control policies from others—either intentionally or automati-cally. I shall also study whether and to what degree people use situational cues to automatize the implementation of suitable policies, and whether often-used, highly practiced policies can become chron-ified and turn into a trait-like processing style, as suggested by cultural studies. Champ scientifique natural sciencescomputer and information sciencesdata sciencedata processingnatural sciencesmathematicsapplied mathematicsmathematical model Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Thème(s) ERC-ADG-2015 - ERC Advanced Grant Appel à propositions ERC-2015-AdG Voir d’autres projets de cet appel Régime de financement ERC-ADG - Advanced Grant Institution d’accueil UNIVERSITEIT LEIDEN Contribution nette de l'UE € 2 500 000,00 Adresse RAPENBURG 70 2311 EZ Leiden Pays-Bas Voir sur la carte Région West-Nederland Zuid-Holland Agglomeratie Leiden en Bollenstreek Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 2 500 000,00 Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution nette de l'UE Tout développer Tout réduire UNIVERSITEIT LEIDEN Pays-Bas Contribution nette de l'UE € 2 500 000,00 Adresse RAPENBURG 70 2311 EZ Leiden Voir sur la carte Région West-Nederland Zuid-Holland Agglomeratie Leiden en Bollenstreek Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 2 500 000,00
