Séminaire au DIC: «Cognitive architectures and the crucial role of motivation: Linking intrinsic needs, goals, effort, and performance» par Ron Sun
Séminaire ayant lieu dans le cadre du Doctorat en informatique cognitive, en alliance avec le centre de recherche CRIA et l'ISC
Ron SUN
Jeudi le 27 avril 2023 à 10h30
PK-5115 (possible d'y assister à distance, pour ce faire, vous devez vous inscrire ici)
Titre : Cognitive architectures and the crucial role of motivation: Linking intrinsic needs, goals, effort, and performance
Résumé
Motivation is a crucially important aspect of human psychology. But “motivation” can denote a number of different things. Effects of motivation on cognition and performance have been found empirically in different fields, and the relationship between them seems complex and multi-faceted. There are many seemingly inconsistent studies as well as many different theories from different disciplines. I will show many of these can actually be synthesized within the unifying framework of a computational cognitive architecture. The framework can account for empirical phenomena across a wide range of domains, based on intrinsic needs/motives, utility calculation, and their effects on cognitive processes. What enables it to address this fundamental aspect of human psychology includes some of the most important characteristics that distinguish it from other popular models.
Biographie
Ron SUN, Professor of Cognitive Science at Rensselaer Polytechnic Institute, studies, models, and simulates human cognitive agents, including their abilities to learn, reason, and act in the real world. His research can be roughly categorized into the following main strands: (1) cognitive architectures, (2) hybrid connectionist (“neurosymbolic”) models, as well as (3) cognitive social simulation and cognitive social sciences. See his personal Webpage as well as the The Clarion project.
References
Sun, R., Bugrov, S., & Dai, D. (2022). A unified framework for interpreting a range of motivation-performance phenomena. Cognitive Systems Research, 71, 24-40.
Bretz, S. & Sun, R. (2018). Two models of moral judgment. Cognitive Science, 42(S1), 4-37. https://onlinelibrary.wiley.com/doi/pdf/10.1111/cogs.12517

Date / heure
Lieu
Montréal (QC)
Prix
Renseignements
- Mylène Dagenais
- dic@uqam.ca
- https://www.dic.uqam.ca