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Ray Solomonoff invented the notion of universal induction featuring an aptly termed "universal" prior probability function over all possible computable environments.
On computable numbers, with an application to the Entscheidungsproblem
A. M. Turing · 1936
Earlier work this paper cites.
A formal theory of inductive inference: Parts 1 and 2
R. J. Solomonoff · 1964
Earlier work this paper cites.
A. K. Zvonkin and L. A. Levin · 1970
Earlier work this paper cites.
Some Theorems on the Algorithmic Approach to Probability Theory and Information Theory
Leonid A Levin · 1971
Earlier work this paper cites.
Process complexity and effective random tests
C. P. Schnorr · 1973
Cited alongside, same era.
A theory of program size formally identical to information theory
G. J. Chaitin · 1975
Cited alongside, same era.
Complexity-based induction systems: Comparisons and convergence theorems
R. J. Solomonoff · 1978
Cited alongside, same era.
Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability
M. Hutter · 2005
Cited alongside, same era.
Randomness and universal machines
S. Figueira, F. Stephan, and G. Wu · 2006
Later among the works it cites.
On universal prediction and Bayesian confirmation
M. Hutter · 2007
Later among the works it cites.
An Introduction to Kolmogorov Complexity and its Applications
M. Li and P. M. B. Vitányi · 2008
Later among the works it cites.
Algorithmic Randomness and Complexity
R. Downey and D. R. Hirschfeldt · 2010
Later among the works it cites.
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