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VERSION:2.0
PRODID:https://evenements.uqam.ca
X-PUBLISHED-TTL:P1W
BEGIN:VEVENT
UID:34489@https://evenements.uqam.ca
DTSTART:20260924T103000Z
SEQUENCE:4
TRANSP:OPAQUE
URL:https://evenements.uqam.ca/evenements/seminaire-au-dic-grounding-reason
 ing-par-reto-gubelmann/34489?date=2026-09-24_10-30-00
LOCATION:UQAM - Pavillon Président-Kennedy (PK) (201\, avenue du Présiden
 t-Kennedy\, Montréal )
SUMMARY:Séminaire au DIC: «Grounding Reasoning» par Reto Gubelmann
CLASS:PUBLIC
DESCRIPTION:Séminaire ayant lieu dans le cadre du Doctorat en informatique
  cognitive\, en collaboration avec le centre de recherche CRIA      
       \n\n\n \n\n\n TITRE : Grounding Reasoning\n\n\n \n\n\nRet
 o GUBELMANN\n\n\nJeudi le 24 septembre 2026 à 10h30\n\n\nLocal PK-5115 (
 Il est possible d'y assister en virtuel en vous inscrivant ici)     
           \n\n\n \n\n\nRÉSUMÉ\n\n\nThis talk will explore an 
 unconventional way of thinking about grounding reasoning: that reasoning i
 s a kind of action\, properly predicated of an entire animal\, and integra
 ting cognition\, affect\, and conation in the case of humans. I will outli
 ne some consequences of this for what it means to reason well\, and for wh
 en we should and should not offload reasoning to agents.\n\n\n \n\n\nBIOG
 RAPHIE\n\n\nReto GUBELMANN is a researcher working at the intersection of 
 philosophy and natural language processing (NLP). His primary research are
 a is the philosophical theory and computational implementation of argument
 ation and logical inference\, broadly conceived as logical reasoning. My r
 esearch in NLP involves large language models (LLMs) with an emphasis on N
 euro-Symbolic approaches.\n\n\n \n\n\nRÉFÉRENCES \n\n\n Gubelmann\, R
 .\, &amp\; Hongler\, P. (2026\, July). Too Fast\, Too Shallow–LLMs\, Inc
 luding Reasoning LLMs\, Are Unreliable Constitutional Reasoners. In Findi
 ngs of the Association for Computational Linguistics: ACL 2026 (pp. 40554
 -40572).\n\n\nGubelmann\, R. (2026). Putting reasons back into reasoning: 
 how genuine reasoning is inference-based and why neuro-symbolic NLI could 
 achieve it. Frontiers in Artificial Intelligence\, 9\, 1801094.\n\nMot-c
 lés : Séminaire\, LLMs\, Neurolab\, NeuroQAM\, LATECE UQAM INFORMATIQUE\
 , LATECE\, CRIA\, Philosophie\, Sciences cognitive\, École de langues\, D
 épartement de Neuroscience\, neurosciences cognitives\, Neurosciences\, S
 ciences cognitives\, Institut des sciences cognitives\, sciences du langag
 e\, apprentissage machine\, apprentissage profond\, apprentissage automati
 que\, langage automatique\, langage cognitif\, metacognition\, Cognition h
 umaine\, Cognition\, intelligence artificielle\, IA \; intelligence artifi
 cielle\, société\, IA\, intelligence artificielle\, chatGPT\, enseigneme
 nt supérieur\, IA\, intelligence artificielle\, IA\; intelligence artific
 ielle\; société\, département de linguistique\, maîtrise en psychologi
 e\, Maîtrise en informatique\, département de psychologie\, Département
  d'informatique\, Faculté des sciences de l'UQAM\, Faculté des sciences 
 humaines\, Faculté des sciences\, doctorat en informatique cognitive\, do
 ctorat en informatique\n\nPrix : Gratuit\n\n
CATEGORIES:Séminaire,Conférence
DTSTAMP:20260920T204605Z
CREATED:20260917T121326Z
LAST-MODIFIED:20260918T110940Z
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