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Ray Solomonoff

Computing Methodologies

Ray Solomonoff, born in Cleveland, Ohio on July 25, 1926 and died on December 7, 2009, was an American mathematician who invented algorithmic probability and his General Theory of Inductive Inference, also called universal inductive inference, and who was a founder of algorithmic information theory. He studied physics at the University of Chicago, where Rudolf Carnap and Enrico Fermi were among his teachers, and he was one of the ten invitees to the 1956 Dartmouth Summer Research Project on Artificial Intelligence. In 1956 he circulated the first report on non semantic machine learning, and in 1960 he described algorithmic probability, the result that launched Kolmogorov complexity. He worked largely independently through his own one man company, Oxbridge Research, formed in 1970, with periods at institutions including MIT. In 2003 he was the first recipient of the Kolmogorov Award.

Facts
Birth Year
1926 1
Contribution Kind
Theory 1
Highest Honour
Kolmogorov Award 1
Connections

Affiliated With

Source Ray Solomonoff (Wikipedia)
Source Ray Solomonoff (Wikipedia)

In Field

Source Ray Solomonoff (Wikipedia)
In the Other Atlases

Nationality

Also in Geography Atlas: the nationality of this subject.

Source Ray Solomonoff (Wikipedia)Lead, nationality
Quote, Lead, nationality
was an American mathematician who invented algorithmic probability
Sources
1. Engineering and Technology History Wiki (ETHW, IEEE): Ray Solomonoff
Engineering and Technology History Wiki (ETHW, IEEE)
  • Biography, birth
    He was born in Cleveland, Ohio, July 25, 1926
  • Biography, algorithmic information theory
    was a founding father of algorithmic information theory
  • Biography, Kolmogorov Award
    In 2003 he was the first recipient of the Kolmogorov Award by The Computer Learning Research Center
View the Source
Ray Solomonoff (Wikipedia)
  • Lead, nationality
    was an American mathematician who invented algorithmic probability
  • In Field: Artificial Intelligence, Lead, artificial intelligence
    He was an originator of the branch of artificial intelligence based on machine learning, prediction and probability.
  • In Group: Artificial Intelligence, Lead, machine learning
    He circulated the first report on non-semantic machine learning in 1956.
  • Affiliated With: University of Chicago, Life history through 1964, education
    he attended the University of Chicago, studying under Professors such as Rudolf Carnap and Enrico Fermi
  • Affiliated With: Massachusetts Institute of Technology, Work history, the later years, MIT
    institutions such as MIT
View the Source
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