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Jess and I discuss construction using graph neural networks. She makes AI agents that build structures to solve tasks in a simulated blocks and glue world using graph neural networks and deep reinforcement learning. We also discuss her work modeling mental simulation in humans and how it could be implemented in machines, and plenty more.
Show notes:
Michael and I discuss the philosophy and a bit of history of mental representation including the computational theory of mind and the language of...
Support the Podcast David and I talk about his work to understand how sound waves floating in the air get transformed into meaningful concepts...
What is creativity? How do we measure it? How do our brains implement it, and how might AI?Those are some of the questions John,...