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Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence (Record no. 15106)

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003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310144122.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642449581
978-3-642-44958-1
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA75.5-76.95
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
912 ## -
-- ZDB-2-SCS
-- ZDB-2-LNC
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dowe, David L.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
Medium [electronic resource] :
Remainder of title Papers from the Ray Solomonoff 85th Memorial Conference, Melbourne, VIC, Australia, November 30 – December 2, 2011 /
Statement of responsibility, etc edited by David L. Dowe.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 445 p. 61 illus.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Lecture Notes in Computer Science,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 7070
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to Ray Solomonoff 85th Memorial Conference -- Ray Solomonoff and the New Probability -- Universal Heuristics: How Do Humans Solve “Unsolvable” Problems? -- Partial Match Distance -- Falsification and Future Performance -- The Semimeasure Property of Algorithmic Probability – “Feature” or “Bug”? -- Inductive Inference and Partition Exchangeability in Classification -- Learning in the Limit: A Mutational and Adaptive Approach -- Algorithmic Simplicity and Relevance -- Categorisation as Topographic Mapping between Uncorrelated Spaces -- Algorithmic Information Theory and Computational Complexity -- A Critical Survey of Some Competing Accounts of Concrete Digital Computation -- Further Reflections on the Timescale of AI -- Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL -- Complexity Measures for Meta-learning and Their Optimality -- Design of a Conscious Machine -- No Free Lunch versus Occam’s Razor in Supervised Learning -- An Approximation of the Universal Intelligence Measure -- Minimum Message Length Analysis of the Behrens–Fisher Problem -- MMLD Inference of Multilayer Perceptrons -- An Optimal Superfarthingale and Its Convergence over a Computable Topological Space -- Diverse Consequences of Algorithmic Probability -- An Adaptive Compression Algorithm in a Deterministic World -- Toward an Algorithmic Metaphysics -- Limiting Context by Using the Web to Minimize Conceptual Jump Size -- Minimum Message Length Order Selection and Parameter Estimation of Moving Average Models -- Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction -- Locating a Discontinuity in a Piecewise-Smooth Periodic Function Using Bayes Estimation -- On the Application of Algorithmic Probability to Autoregressive Models -- Principles of Solomonoff Induction and AIXI -- MDL/Bayesian Criteria Based on Universal Coding/Measure -- Algorithmic Analogies to Kamae-Weiss Theorem on Normal Numbers -- (Non-)Equivalence of Universal Priors -- A Syntactic Approach to Prediction -- Developing Machine Intelligence within P2P Networks Using a Distributed Associative Memory.  .
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Computer Science, general.
Topical term or geographic name as entry element Computer Science, general.
Topical term or geographic name as entry element Computer Science, general.
Topical term or geographic name as entry element Computer Science, general.
Topical term or geographic name as entry element Computer Science, general.
Topical term or geographic name as entry element Computer Science, general.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642449574
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-44958-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-01AUM Main Library2014-04-01 2014-04-01 E-Book   AUM Main Library004

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