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April 6, 2018 - 8:30am-5:55pm

The 2018 Weinberg Symposium will explore recent dramatic advances in AI and their implications for our developing understanding and investigation of mind and brain. Of special interest are deep learning and reinforcement learning, and the resurgence of explorations of computational architectures intended to support general intelligence. An aim of the symposium is to clarify and advance the reciprocal flow of theoretical ideas across AI and cognitive science, broadly understood to include neuroscience and psychology. This includes identifying specific computational problems shared by both artificial and human brains, and leading ideas for solutions to those problems; identifying areas of both theoretical convergence and divergence; rethinking core concepts in cognitive science such as planning, motivation, attention, and abstraction; and putting into sharp focus fundamental gaps in our present scientific understanding and engineering capacities that might be promising areas for new cross-disciplinary work.

All events are in the Michigan League 2nd Floor Ballroom unless indicated otherwise.

8:30am   Continental BreakfastMichigan League 2nd Floor Concourse

Opening and Welcome, Elizabeth Cole, Associate Dean of Social Sciences and Professor of Women's Studies, Psychology, and Afroamerican & African Studies

Introduction to the Symposium, Richard Lewis, Director, Weinberg Institute for Cognitive Science, and Professor of Psychology, Linguistics and Cognitive Science


Reinforcement Learning and Cognitive Science: A Personal Story

Richard SuttonProfessor and iCORE Chair, Department of Computing Science, University of Alberta, and Distinguished Research Scientist, DeepMind

10:30am   Coffee BreakMichigan League 2nd Floor Concourse

Embodied Visual Learning and Recognition

Kristen GraumanProfessor, Department of Computer Science, University of Texas at Austin

11:55am Break

Neuroscience-Inspired AI : The View from DeepMind

Matthew BotvinickDirector of Neuroscience Research, DeepMind, and Honorary Professor, Gatsby Computational Neuroscience Unit, University College London

2:35pm Coffee BreakMichigan League 2nd Floor Concourse

Building Machines That Learn and Think Like People

Joshua Tenenbaum, Professor, Department of Brain and Cognitive Sciences; Center for Brains, Minds and Machines; and Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology


Panel Discussion and Q&A
moderated by Satinder Singh, Professor of Computer Science

Speakers joined by:
Jon BrennanAssistant Professor of Linguistics
Rada MihalceaDirector, AI Lab and Professor of Computer Science
Peter RailtonGregory S. Kavka Distinguished University Professor and John Stephenson Perrin Professor of Philosophy

4:55pm Reception

Visitor Information

Please see the links below for information regarding parking, wayfinding, and accommodations.