|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Universal Artificial Intelligence, and Probability Monads
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)
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)
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.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listscomputer science Workshop on Multimodal Approaches to Language Acquisition Education, Equality and Development (EED) Group Seminars
Other talksA Taste for Virtue: Eighteenth-Century Epicureanism and Rousseau's Political Thought Search for Sphalerons in Proton-Proton Collisions Biogenic light induced tuneable photonic crystals A scientific approach to international development: the case of mass media in Africa (King's/Cambridge-Africa Seminar) TBC (SP Workshop) Autumn Cactus & Succulent Show