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Lecture Notes in Artificial Intelligence Lect.Notes ComputerFestschrift

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence

Papers from the Ray Solomonoff 85th Memorial Conference, Melbourne, VIC, Australia, November 30 -- December 2, 2011

Editors: Dowe, David L. (Ed.)

  • Dedicated to one of the pioneers in computer science, artificial intelligence and machine learning
  • Usage of (universal) Turing machines for prediction problems in statistics, machine learning, econometrics and data mining
  • Covers a vast variety of topics such as statistics, econometrics and knowledge discovery, data mining, terabyte science, data science, big data and data management and processing
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eBook $59.99
price for USA in USD (gross)
  • ISBN 978-3-642-44958-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $74.99
price for USA in USD
  • ISBN 978-3-642-44957-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Algorithmic probability and friends: Proceedings of the Ray Solomonoff 85th memorial conference is a collection of original work and surveys. The Solomonoff 85th memorial conference was held at Monash University's Clayton campus in Melbourne, Australia as a tribute to pioneer, Ray Solomonoff (1926-2009), honouring his various pioneering works - most particularly, his revolutionary insight in the early 1960s that the universality of Universal Turing Machines (UTMs) could be used for universal Bayesian prediction and artificial intelligence (machine learning). This work continues to increasingly influence and under-pin statistics, econometrics, machine learning, data mining, inductive inference, search algorithms, data compression, theories of (general) intelligence and philosophy of science - and applications of these areas. Ray not only envisioned this as the path to genuine artificial intelligence, but also, still in the 1960s, anticipated stages of progress in machine intelligence which would ultimately lead to machines surpassing human intelligence. Ray warned of the need to anticipate and discuss the potential consequences - and dangers - sooner rather than later. Possibly foremostly, Ray Solomonoff was a fine, happy, frugal and adventurous human being of gentle resolve who managed to fund himself while electing to conduct so much of his paradigm-changing research outside of the university system. The volume contains 35 papers pertaining to the abovementioned topics in tribute to Ray Solomonoff and his legacy.

Table of contents (35 chapters)

  • Introduction to Ray Solomonoff 85th Memorial Conference

    Dowe, David L.

    Pages 1-36

  • Ray Solomonoff and the New Probability

    Solomonoff, Grace

    Pages 37-52

  • Universal Heuristics: How Do Humans Solve “Unsolvable” Problems?

    Levin, Leonid A.

    Pages 53-54

  • Partial Match Distance

    Li, Ming

    Pages 55-64

  • Falsification and Future Performance

    Balduzzi, David

    Pages 65-78

Buy this book

eBook $59.99
price for USA in USD (gross)
  • ISBN 978-3-642-44958-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $74.99
price for USA in USD
  • ISBN 978-3-642-44957-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
Book Subtitle
Papers from the Ray Solomonoff 85th Memorial Conference, Melbourne, VIC, Australia, November 30 -- December 2, 2011
Editors
  • David L. Dowe
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
7070
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-44958-1
DOI
10.1007/978-3-642-44958-1
Softcover ISBN
978-3-642-44957-4
Edition Number
1
Number of Pages
XVI, 445
Number of Illustrations
61 b/w illustrations
Topics