Josh Tenenbaum is Professor of Computational Cognitive Science in the Department of Brain and Cognitive Sciences at MIT, a principal investigator at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), and a thrust leader in the Center for Brains, Minds and Machines (CBMM). His research centers on perception, learning, and common-sense reasoning in humans and machines, with the twin goals of better understanding human intelligence in computational terms and building more human-like intelligence in machines.
Talk
From Word Models to World Models: Natural Language to the Probabilistic Language of Thought | June 6
Sessions auxquelles Josh Tenenbaum participe
Jeudi 6 Juin, 2024
How do humans make meaning from language? And how can we build machines that think in more human-like ways? "Rational Meaning Construction" combines neural language models with probabilistic models for rational inference. Linguistic meaning is a context-sensitive mapping from natural language into a probabilistic language of thought (PLoT), a general-purpose symbolic substrate for generative world modelling. Thinking can be modelled with probabilistic programs, an expressive representation fo...