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Title:
Mathematical foundations for human-level intelligence (Part 1): Cooperative communication as belief transport
Speaker:
Abstract:
Human learning outstrips modern machine learning and AI in at least three abilities: rapid robust learning, in effectively open worlds, in near-real time with very little energy. Mathematical formalization of signature human abilities has the possibility to advance machine learning theory and practice. In this talk, I will demonstrate the possibility of rigorous mathematical formalizations of rapid and robust learning via cooperative communication, and discuss generalizations and directions.
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