Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
Author :
Publisher : Springer
Total Pages : 457
Release :
ISBN-10 : 9783642449581
ISBN-13 : 3642449581
Rating : 4/5 (581 Downloads)

Book Synopsis Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence by : David L. Dowe

Download or read book Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence written by David L. Dowe and published by Springer. This book was released on 2013-10-22 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence Related Books

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
Language: en
Pages: 457
Authors: David L. Dowe
Categories: Computers
Type: BOOK - Published: 2013-10-22 - Publisher: Springer

GET EBOOK

Algorithmic probability and friends: Proceedings of the Ray Solomonoff 85th memorial conference is a collection of original work and surveys. The Solomonoff 85t
The Measure of All Minds
Language: en
Pages: 632
Authors: José Hernández-Orallo
Categories: Computers
Type: BOOK - Published: 2017-01-11 - Publisher: Cambridge University Press

GET EBOOK

Are psychometric tests valid for a new reality of artificial intelligence systems, technology-enhanced humans, and hybrids yet to come? Are the Turing Test, the
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Language: en
Pages: 393
Authors: Panos M. Pardalos
Categories: Mathematics
Type: BOOK - Published: 2021-05-27 - Publisher: Springer Nature

GET EBOOK

This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen con
Artificial General Intelligence
Language: en
Pages: 379
Authors: Ben Goertzel
Categories: Computers
Type: BOOK - Published: 2022-01-06 - Publisher: Springer Nature

GET EBOOK

This book constitutes the refereed proceedings of the 14th International Conference on Artificial General Intelligence, AGI 2021, held as a hybrid event in San
Risks of Artificial Intelligence
Language: en
Pages: 294
Authors: Vincent C. Müller
Categories: Computers
Type: BOOK - Published: 2016-01-05 - Publisher: CRC Press

GET EBOOK

Featuring contributions from leading experts and thinkers in the theory of artificial intelligence (AI), this is one of the first books dedicated to examining t