Introduction
Marcus Hutter (born April 14, 1967) is DeepMind Senior Scientist researching the mathematical foundations of artificial general intelligence.He is on leave from his professorship at the ANU College of Engineering and Computer Science of the Australian National University in Canberra, Australia. Hutter studied physics and computer science at the Technical University of Munich. In 2000 he joined Jürgen Schmidhuber's group at the Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (Dalle Molle Institute for Artificial Intelligence Research) in Manno, Switzerland. With others, he developed a mathematical theory of artificial general intelligence. His book Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability was published by Springer in 2005.
Research
In 2002 Hutter, with Jürgen Schmidhuber and Shane Legg, developed and published a mathematical theory of artificial general intelligence based on idealised intelligent agents and reward-motivated reinforcement learning.
In 2005 Hutter and Legg published an intelligence test for artificial intelligence devices.
Hutter Prize
In 2006, Hutter announced the Hutter Prize for Lossless Compression of Human Knowledge, with a total of €50,000 in prize money. In 2020, Hutter raised the prize money of the Hutter Prize to €500,000.
Published works
- Marcus Hutter (2005). Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability. Springer. ISBN 9783540221395.