AI researcher
Marcus Hutter (born 14 April 1967 in Munich) is a German computer scientist, professor and artificial intelligence researcher. As a senior researcher at DeepMind , he studies the mathematical foundations of artificial general intelligence .[ 1] [ 2]
Hutter studied physics and computer science at the Technical University of Munich . In 2000 he joined Jürgen Schmidhuber 's group at the Dalle Molle Institute for Artificial Intelligence Research in Manno , Switzerland.[ 3] [ 4] artificial general intelligence named AIXI . He has served as a professor at the College of Engineering, Computing and Cybernetics of the Australian National University in Canberra , Australia.[ 5]
Research
Starting in 2000, Hutter developed and published a mathematical theory of artificial general intelligence , AIXI , based on idealised intelligent agents and reward-motivated reinforcement learning .[ 6] [ 7] [ 4] Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability was published in 2005 by Springer .[ 8] Shane Legg an intelligence test for artificial intelligence devices.[ 9] [ 10] AIXI agent.[ 11]
An accessible podcast with Lex Fridman about his theory of Universal AI appeared in 2021[ 12] [ 13] [ 14] ASI safety , which featured as a keynote at the inaugural workshop on AI safety in Sydney.[ 15]
Hutter Prize
In 2006, Hutter announced the Hutter Prize for Lossless Compression of Human Knowledge , with a total of €50,000 in prize money.[ 16] [ 17] [ 4]
See also
Published works
Hutter, Marcus (2002). "The Fastest and Shortest Algorithm for All Well-Defined Problems" . International Journal of Foundations of Computer Science . 13 (3). World Scientific: 431– 443. arXiv :cs/0206022 doi :10.1142/S0129054102001199 . S2CID 5496821 . — (2005). Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability ISBN 978-3-540-22139-5 OCLC 828802143 . Veness, Joel; Ng, Kee Siong; Hutter, Marcus; Uther, William; Silver, David (2011). "A Monte-Carlo AIXI Approximation". Journal of Artificial Intelligence Research . 40 : 95– 142. arXiv :0909.0801 doi :10.1613/jair.3125 . S2CID 206618 . Legg, Shane; Hutter, Marcus (2007). "Universal Intelligence: A Definition of Machine Intelligence". Minds and Machines . 17 (4): 391– 444. arXiv :0712.3329 doi :10.1007/s11023-007-9079-x . Hutter, Marcus (2010). "A Complete Theory of Everything (will be subjective)" . Algorithms . 3 (4): 329– 350. arXiv :0912.5434 doi :10.3390/a3040329 Rathmanner, Samuel; Hutter, Marcus (2011). "A Philosophical Treatise of Universal Induction" . Entropy . 13 (6): 1076– 1136. arXiv :1105.5721 doi :10.3390/e13061076 Hutter, Marcus (2012). "Can Intelligence Explode?" . Journal of Consciousness Studies . 19 (1– 2): 143– 166. arXiv :1202.6177 Sunehag, Peter; Hutter, Marcus (2015). "Rationality, Optimism and Guarantees in General Reinforcement Learning" . Journal of Machine Learning Research . 16 : 1345– 90. Hutter, Reinhard; Hutter, Marcus (2021). "Chances and Risks of Artificial Intelligence – A Concept of Developing and Exploiting Machine Intelligence for Future Societies" . Applied System Innovation . 4 (2): 37. doi :10.3390/asi4020037 hdl :1885/308753 Hutter, Marcus; Quarel, David; Catt, Elliot (2024). An Introduction to Universal Artificial Intelligence doi :10.1201/9781003460299 . ISBN 978-1-032-60702-3 OCLC 1402822701 .
References
^ "HomePage of Marcus Hutter" .^ "TIME100 AI 2023: Shane Legg" . Time . 7 September 2023. Retrieved 25 August 2024 .^ "Marcus Hutter" . aiandsociety.org . 15 May 2017. Retrieved 25 August 2024 .^ a b c Sagar, Ram (7 April 2020). "Compress Data And Win Hutter Prize Worth Half A Million Euros" . Analytics India Magazine . Retrieved 7 March 2024 . ^ "Professor Marcus Hutter" . Australian National University . Retrieved 25 August 2024 .^ Marcus Hutter (2000). A Theory of Universal Artificial Intelligence based on Algorithmic Complexity arXiv :cs.AI/0004001 Bibcode :2000cs........4001H . ^ Hutter, Marcus (28 November 2013). "To create a super-intelligent machine, start with an equation" . The Conversation . Retrieved 25 August 2024 . ^ Marcus Hutter (2005). Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability . Berlin; Heidelberg; New York: Springer. ISBN 9783540221395
^ Graham-Rowe, Duncan (12 August 2005). "IQ test for AI devices gets experts thinking" . New Scientist . Retrieved 25 August 2024 . ^ Marcus Hutter (2009). "Feature Reinforcement Learning: Part I. Unstructured MDPs" (PDF) . Journal of Artificial General Intelligence . 1 (1): 3. arXiv :0906.1713 Bibcode :2009JAGI....1....3H . doi :10.2478/v10229-011-0002-8 . ISSN 1946-0163 . ^ Tor Lattimore and Marcus Hutter (2014). "Bayesian Reinforcement Learning with Exploration" (PDF) . Algorithmic Learning Theory . Proc. 25th International Conf. on Algorithmic Learning Theory ({ALT'14}). Lecture Notes in Computer Science. Vol. 8776. pp. 170– 184. doi :10.1007/978-3-319-11662-4_13 . hdl :1885/14709 ISBN 978-3-319-11661-7 ^ Fridman, Lex (26 February 2020). "Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI" – via YouTube. ^ Nguyen, Tim (10 May 2024). "Universal Artificial Intelligence and Solomonoff Induction" – via YouTube. ^ Marcus Hutter (2024). An Introduction to Universal Artificial Intelligence ISBN 9781032607023 ^ Hutter, Marcus (9 December 2024). "ASI Safety via AIXI" – via YouTube. ^ Chiang, Ted (9 February 2023). "ChatGPT Is a Blurry JPEG of the Web" . The New Yorker . ISSN 0028-792X . Retrieved 25 August 2024 . ^ Marcus Hutter. "50'000€ Prize for Compressing Human Knowledge" . hutter1.net . Retrieved 29 November 2016 .
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