Auteur : plourde_mi

ÉCOLE D’ÉTÉ DE L’ISC : inscriptions tarif privilège + appel par affiche

Inscriptions

Les inscriptions à l’École d’été 2021 de l’ISC sont maintenant ouvertes. Le tarif privilège est accessible jusqu’au 19 avril, Détails.

Appel par affiche – Call for papers

Invitation à soumettre un résumé d’affiche pour une présentation en ligne à l’École d’été ISC 2021 : Défis cognitifs du changement climatique. Prix de 1000 $ CAD. Nouvelle date limite : 26 avril. Détails

You are invited to submit an abstract for a poster presentation for the online poster session at the ISC 2021 Summer School on Cognitive Challenges of Climate Change. Award of $1000 CAD. New deadline: April 26. Details

31 mars et 1er avril – Séminaires DIC-ISC-CRIA

Mercredi 31 mars 2021 EXCEPTIONNELLEMENT à 19h

Exploring robotic minds using predictive coding and active inference frameworks

Par Jun Tani

Le lien zoom pour y assister est (veuillez indiquer votre nom complet dès votre entrée pour nous faciliter la tâche de vous admettre au séminaire) : ​https://uqam.zoom.us/j/84473395235

Résumé :
The focus of my research has been to investigate how cognitive agents can acquire structural representation via iterative interaction with the world, exercising agency and learning from resultant perceptual experience.  For this purpose, my group has investigated various models analogous to predictive coding and active inference frameworks. For the past two decades, we have applied these frameworks to develop cognitive constructs for robots. My talk attempts to clarify underlying cognitive and mind mechanisms for compositionality, social cognition, and consciousness from analysis of emergent phenomena observed in these robotics experiments.

References:
(1) Tani, J. (2016). “Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena.”, Oxford University Press. link
(2) Tani, J., & White, J. (2020). Cognitive neurorobotics and self in the shared world, a focused review of ongoing research. Adaptive Behavior, 1059712320962158.

Bio:
Jun Tani received the D.Eng. degree from Sophia University, Tokyo in 1995. He started his research career with Sony Computer Science Lab. in 1993. He became a Team Leader of the Laboratory for Behavior and Dynamic Cognition, RIKEN Brain Science Institute, Saitama, Japan in 2001. He became a Full Professor with the Electrical Engineering Department, Korea Advanced Institute of Science and Technology, Daejeon, South Korea in 2012. He is currently a Full Professor with the Okinawa Institute of Science and Technology, Okinawa, Japan. His current research interests include cognitive neuroscience, developmental psychology, phenomenology, complex adaptive systems, and robotics.


Jeudi 1er avril 2021 à 10h30
 
The challenge of modeling the acquisition of mathematical concepts.

Par Alberto Testolin

Le lien zoom pour y assister est (veuillez indiquer votre nom complet dès votre entrée pour nous faciliter la tâche de vous admettre au séminaire) : ​https://uqam.zoom.us/j/84473395235
 
Résumé :
Mathematics is one of the most impressive achievements of human cultural evolution. Despite we perceive it as being overly abstract, it is widely believed that mathematical skills are rooted into a phylogenetically ancient “number sense”, which allows us to approximately represent quantities. However, the relationship between number sense and the subsequent acquisition of symbolic mathematical concepts remains controversial. In this seminar I will discuss how recent advances in AI and deep learning research might allow to investigate how the acquisition of numerical concepts could be grounded into sensorimotor experiences. Success in this challenging enterprise would have immediate implications for cognitive science, but also far-reaching impact for educational practice and for the creation of the next generation of intelligent machines.

References:
1) Zorzi, M., & Testolin, A. (2018). An emergentist perspective on the origin of number sense. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1740), 20170043.
https://royalsocietypublishing.org/doi/full/10.1098/rstb.2017.0043
2) Overmann, K. A. (2018). Constructing a concept of number. Journal of Numerical Cognition. 4, 464–493.
https://jnc.psychopen.eu/article/view/161/html

Bio:
Dr. Alberto Testolin received the M.Sc. degree in Computer Science and the Ph.D. degree in Psychological Sciences from the University of Padova, Italy, in 2011 and 2015, respectively. In 2019 he was Visiting Scholar at the Department of Psychology at Stanford University. He is currently Assistant Professor at the University of Padova, with a joint appointment at the Department of Information Engineering and the Department of General Psychology. He is broadly interested in artificial intelligence, machine learning and cognitive neuroscience. His main research interests are statistical learning theory, predictive coding, sensory perception, cognitive modeling and applications of deep learning to signal processing and optimization. He is an active member of the IEEE Task Force on Deep Learning.

POUBELLE – Appel par affiche pour l’École d’été 2021 de l’ISC / Call for posters for the 2021 ISC Summer School

Invitation à soumettre un résumé d’affiche pour une présentation en ligne à l’École d’été ISC 2021 : Défis cognitifs du changement climatique. Prix de 1000 $ CAD. Date limite : 19 avril. Détails

You are invited to submit an abstract for a poster presentation for the online poster session at the ISC 2021 Summer School on Cognitive Challenges of Climate Change. Award of $1000 CAD. Deadline: April 19. Details

25 mars – Séminaire DIC-ISC-CRIA

Titre : From Whorf to Telepathy: How words structure and align our concepts

Par Gary Lupyan
 
Le lien zoom pour y assister est (veuillez indiquer votre nom complet dès votre entrée pour nous faciliter la tâche de vous admettre au séminaire) : ​https://uqam.zoom.us/j/84473395235

Jeudi le 25 mars, à 10h30

Résumé :
That people are able to communicate on a wide range of topics with reasonable success is often taken as evidence that we have a largely overlapping conceptual repertoire. But where do our concepts come from and how similar are they, really? On one widespread view, humans are born with a core-knowledge system and a set of conceptual categories onto which words map. Alternatively, many of our concepts — including some that seem very basic  — may derive from our experience with and use of language. On this view, language plays a key role in both constructing and aligning our conceptual spaces. I will argue in favor of the second view, present evidence for the causal role of language in categorization and reasoning, and describe what consequences this position has for the theoretical possibility of telepathy.

Bio :
Gary Lupyan is professor of psychology at the University of Wisconsin-Madison. He obtained his doctorate in 2007 at Carnegie Mellon with Jay McClelland, followed by postdocs in cognitive (neuro)science at Cornell University and University of Pennsylvania.  At the center of his research interests is the question of whether and how our cognition and perception is augmented by language. What does language *do* for us? Other major research interests have spanned top-down effects in perception, the evolution of language, iconicity, and causes of linguistic diversity (do languages adapt to different socio-demographic environments?). 

15 au 19 mars – École d’hiver 2021 sur l’Intelligence Artificielle et les Sciences Cognitives

La première édition de l’école d’hiver sur l’Intelligence Artificielle et les Sciences Cognitives est organisée conjointement par l’Université du Québec à Montréal et le Collège André-Laurendeau, deux établissements membres du Pôle Montréalais d’Enseignement Supérieur en Intelligence Artificielle (PoleIA).

L’objectif de cette première édition de l’école d’hiver est d’initier la population étudiante collégiale à l’intelligence artificielle par le prisme des sciences cognitives. Les sciences cognitives étant intrinsèquement pluridisciplinaires, nous encourageons la participation de toute personne inscrite à un programme collégial ou universitaire de premier cycle ou de cycles supérieurs, qu’elle soit inscrite à un programme de sciences humaines, d’arts et lettres, de sciences naturelles ou de sciences de la santé. 

SITE WEB POUR INFO ET INSCRIPTION

18 mars – Séminaire DIC-ISC-CRIA

Symbol Emergence in Robotics: Probabilistic Generative Models for Real-world Multimodal Language Acquisition and Understanding

Par Tadahiro Taniguchi

Lien zoom (prière de bien identifier votre nom et prénom, une salle d’attente sera active): https://uqam.zoom.us/j/84473395235  

Jeudi le 18 mars 2021 à 10h30

Résumé
Symbol emergence in robotics aims to develop a robot that can adapt to the real-world environment, human linguistic communications, and acquire language from sensorimotor information alone, i.e., in an unsupervised manner. This line of studies is essential not only for creating a robot that can collaborate with people through human-robot interactions but also for understanding human cognitive development. This invited lecture introduces the recent development of integrative probabilistic generative models for language learning, e.g., spatial concept formation with simultaneous localization and mapping, and vision of symbol emergence in robotics. I will also introduce challenges related to the integration of probabilistic generative models and deep learning for language learning by robots.

Biography
Tadahiro Taniguchi received the ME and Ph.D. degrees from Kyoto University, in 2003 and 2006 respectively. From April 2008 to March 2010, he was an Assistant Professor at the Department of Human and Computer Intelligence, Ritsumeikan University. From April 2010 to March 2017, he was an Associate Professor at the same department. From September 2015 to September 2016, was a Visiting Associate Professor at the Department of Electrical and Electronic Engineering, Imperial College London. From April 2017, he has been a Professor at the Department of Information Science and Engineering, Ritsumeikan University. From April 2017, he has been a visiting general chief scientist, Technology Division, Panasonic, as well. He has been engaged in research on AI, symbol emergence in robotics, machine learning, and cognitive science.

11 mars – Conférence Au-delà des langues et des cultures en Équateur

Jeudi le 11 mars à 9h30. Rencontre trilingue français, espagnol, anglais. Lien zoom  https://uqam.zoom.us/j/82895847252. Organisateurs

Une conférence de Marleen Haboud, PhD, Pontificia Universidad Católica del Ecuador

Partie 1
L’impact des langues autochtones dans l’espagnol équatorien des Andes

Partie 2
De sujets de recherche à chercheurs: renverser les stéréotypes

Bio :
Marleen Haboud travaille actuellement à l’École de linguistique de l’Université pontificale catholique d’Équateur. Depuis plus de 30 ans, Marleen a développé des recherches en sociolinguistique, documentation et revitalisation des langues autochtones, linguistique anthropologique et méthodologies de recherche émergentes. Elle dirige le «Programme de recherche Oralidad Modernidad», qui parraine plusieurs projets de revitalisation avec les langues autochtones. Le plus récent est «Voix andines et connaissance de la santé ancestrale». Marleen a également travaillé sur la linguistique de contact, en particulier: «Español -or Castellano- andino ecuatoriano». Avec les peuples autochtones du nord de l’Équateur, Marleen travaille actuellement sur les processus de planification linguistique.

Institut des sciences cognitives

Fondé en 2003, l'Institut des Sciences Cognitives de l'UQAM vise à favoriser la recherche et le développement de compétences dans le domaine des sciences cognitives, à en partager les connaissances, à faciliter les échanges interdisciplinaires et à animer la communauté locale.

Coordonnées

Institut des sciences cognitives
Local DS-4202
320, rue Sainte-Catherine Est
Montréal (Québec) H2X 1L7