Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence (Record no. 181815)
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| fixed length control field | 05580nam a22004935i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-44958-1 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423125809.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
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| fixed length control field | 131022s2013 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783642449581 |
| -- | 978-3-642-44958-1 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-642-44958-1 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA75.5-76.95 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UY |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM000000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UY |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| 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. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2013. |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2013. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XVI, 445 p. 61 illus. |
| Other physical details | online resource. |
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| -- | rdacontent |
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| -- | computer |
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| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| -- | text file |
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| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| 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 ofUniversal 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. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Science. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dowe, David L. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783642449574 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783642449598 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Artificial Intelligence, |
| -- | 2945-9141 ; |
| Volume number/sequential designation | 7070 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-642-44958-1">https://doi.org/10.1007/978-3-642-44958-1</a> |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
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