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Universal Artificial Intelligence, and Probability Monads

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If you have a question about this talk, please contact Frederik Eaton.

The two halves of this meeting will be on separate topics, both of which should be new to most of the regular participants. First, Pedro Ortega will talk about Universal Artificial Intelligence, and then Frederik Eaton will talk about Probability Monads.

The reading for Universal AI is:

M Hutter, Universal sequential decisions in unknown environments (2001)

and optionally:

M Hutter, Universal Algorithmic Intelligence (2003)

The reading for Probability Monads is:

P Wadler, Comprehending Monads (1992) (introduction, section 2, subsections 3.1 and 4.1)

N Ramsey, A Pfeffer, Stochastic Lambda Calculus and Monads of Probability Distributions (2002)

and optionally:

D Koller, D McAllester, A Pfeffer Effective Bayesian Inference for Stochastic Programs (1997)

S Park, F Pfenning, S Thrun, A Monadic Probabilistic Language (2003)

Also, Frederik has written a glossary of sorts for Wadler 1992 which should be read first: Comprehending ‘Comprehending Monads’

This talk is part of the Machine Learning Reading Group @ CUED series.

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