Algorithms 2009, 2(3), 879-906; doi:10.3390/a2030879

Open Problems in Universal Induction & Intelligence

Received: 8 April 2009; in revised form: 15 June 2009 / Accepted: 16 June 2009 / Published: 2 July 2009
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Specialized intelligent systems can be found everywhere: finger print, handwriting, speech, and face recognition, spam filtering, chess and other game programs, robots, et al. This decade the first presumably complete mathematical theory of artificial intelligence based on universal induction-prediction-decision-action has been proposed. This informationtheoretic approach solidifies the foundations of inductive inference and artificial intelligence. Getting the foundations right usually marks a significant progress and maturing of a field. The theory provides a gold standard and guidance for researchers working on intelligent algorithms. The roots of universal induction have been laid exactly half-a-century ago and the roots of universal intelligence exactly one decade ago. So it is timely to take stock of what has been achieved and what remains to be done. Since there are already good recent surveys, I describe the state-of-the-art only in passing and refer the reader to the literature. This article concentrates on the open problems in universal induction and its extension to universal intelligence.
Keywords: Kolmogorov complexity; information theory; sequential decision theory; reinforcement learning; artificial intelligence; universal Solomonoff induction; rational agents
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MDPI and ACS Style

Hutter, M. Open Problems in Universal Induction & Intelligence. Algorithms 2009, 2, 879-906.

AMA Style

Hutter M. Open Problems in Universal Induction & Intelligence. Algorithms. 2009; 2(3):879-906.

Chicago/Turabian Style

Hutter, Marcus. 2009. "Open Problems in Universal Induction & Intelligence." Algorithms 2, no. 3: 879-906.

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