PDTAI: Provability, Decision Theory and Artificial Intelligence

PDTAI: Provability, Decision Theory and Artificial Intelligence

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Oct 13, 2015, 05:10 PM - 06:30 PM | 732 Evans Hall | Happening As Scheduled
Tsvi Benson-Tilsen, UC Berkeley, Logic (Speaker)
How can agents learn about the world from observations, and use that knowledge to take effective actions? Hutter's AIXI model applies Solomonoff's theory of induction to sequential decision making, giving a plausible approach to defining the "best possible agent" that we could hope to build. However, there are problems with the AIXI model; among other problems, we will see that it is not...