Gregory Chaitin, American contemporary mathematician and computer scientist who, beginning in the late 1960s, has made important contributions to algorithmic information theory, in particular a new incompleteness theorem similar in spirit
to Gödel's incompleteness theorem.
Chaitin's work has profound consequences for our ideas of randomness.
Chaitin has defined Chaitin's constant Ω, a real number whose digits are randomly distributed and which expresses the probability that a random program will halt. Ω has numerous remarkable mathematical properties, including the fact that it is definable but not computable.
Chaitin's work on algorithmic information theory paralleled the work of Kolmogorov in many respects.
Books
- Algorithmic Information Theory, (Cambridge University Press (http://www.cup.org), 1987),
- Information, Randomness & Incompleteness, (World Scientific (http://www.worldscientific.com), 1987),
- Information-Theoretic Incompleteness, (World Scientific (http://www.worldscientific.com), 1992),
- The Limits of Mathematics, (Springer-Verlag (http://www.springer.de) 1998),
- The Unknowable, (Springer-Verlag (http://www.springer.de) 1999),
- Exploring Randomness, (Springer-Verlag (http://www.springer.de) 2001),
- Conversations with a Mathematician: math, art, science and the limits of reason, (Springer-Verlag (http://www.springer.de) 2002),
- From Philosophy to Program Size, (Tallinn Cybernetics Institute (http://www.cs.ioc.ee/ioc) 2003).
External links
- For other work see:
- See also his website:
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