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.

To register, please fill out the registration link: https://lsa.umich.edu/weinberginstitute/symposium/registration.html