About

This workshop is dedicated to collaborative, interdisciplinary fundamental research at the intersection of the theory of computation, artificial intelligence, psychology, and neuroscience. The overarching goals are twofold. First, we aim to advance our understanding of natural intelligence through theoretical and computational modeling. Second, we pursue a richer understanding of how insights about natural cognition and behavior can ground and inspire the development of artificial intelligence.

Achieving this integration between computational and experimental methods demands cross-disciplinary collaboration. A central aim of the workshop is therefore to catalyze sustained interactions that foster new collaborations and contribute meaningfully to academic discourse across the theory of computation, AI, psychology, and neuroscience.

This year, the workshop will focus on two closely related and rapidly emerging research directions with strong potential for near-term breakthroughs: the construction of internal world models and the mechanisms underlying social interaction and social reasoning. A key component of the workshop will be the formulation of new, well-posed problems in the theory of computation inspired by these aspects of intelligence, with the goal of shaping future theoretical and empirical research.

 

This workshop is a follow up to the AI, Psychology, and Neuroscience 2024 Summer cluster

Chairs/Organizers
Shiry Ginosar
(Toyota Technological Institute at Chicago; chair)
Avrim Blum
(Toyota Technological Institute at Chicago)
Invited Participants

Jacob Andreas (Massachusetts Institute of Technology), Yoav Artzi (Cornell University), Uriel Barron (TTIC), Lenore Blum (Carnegie Mellon University), Avrim Blum (Toyota Technological Institute at Chicago), Manuel Blum (Carnegie Mellon University), Shi Chen (UC Berkeley), Jose Cruzado (TTIC), William Cunningham (Google DeepMind), Sanjoy Dasgupta (UC San Diego), Nate Dolensek (UC Berkeley), Guillaume Dumas (CR-CHUSJ / Mila - Quebec AI Institute, University of Montreal), Alexei Efros (UC Berkeley), Ofer Feinerman (Weizmann Institute of Science), Vikram Gadagkar (Columbia University), Jack Gallant (UC Berkeley), Gily Ginosar (NYU), Shiry Ginosar (Toyota Technological Institute at Chicago), Shafi Goldwasser (Simons Institute), Alison Gopnik (UC Berkeley), Shester Gueuwou (TTIC), Michal Irani (Weizmann Institute), Phillip Isola (Massachusetts Institute of Technology), Sophia Koepke (UC Berkeley / TUM), Christopher Kymn (UC Berkeley), Svetlana Lazebnik (UIUC), Paul Liang (MIT), Jitendra Malik (UC Berkeley), Enrico Micali (UC Berkeley), Igor Mordatch (Google DeepMind), Ken Nakayama (UC Berkeley/ Harvard), Bruno Olshausen (UC Berkeley), Hadas Raviv (Princeton), Marcelo Sandoval-Castañeda (TTIC), Kaylene Stocking (Toyota Technological Institute at Chicago), Alane Suhr (UC Berkeley), Omer Tamuz (Caltech), Misha Tsodyks (Institute for Advanced Study), Madhur Tulsiani (TTI-Chicago), Paul Valiant (Purdue University), Matthew Walter (TTIC), Eunice Yiu (UC Berkeley), Yossi Yovel (Tel-Aviv University), Daniel Zoran (Google DeepMind)

Register

Registration is required for in-person attendance, access to the livestream, and early access to the recording. Space may be limited, and you are advised to register early. 

For additional information please visit: https://simons.berkeley.edu/participating-workshop.

Please note: the Simons Institute regularly captures photos and video of activity around the Institute for use in videos, publications, and promotional materials. 

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