From deep learning to rational machines : (Record no. 56174)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04372nam a2200565 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1399536565 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EBZ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251029164109.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230702t20242024nyua ob 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2023022567 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | EBZ |
| Language of cataloging | eng |
| Transcribing agency | EBZ |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780197653326 |
| Qualifying information | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0197653324 |
| Qualifying information | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780197653333 |
| Qualifying information | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0197653332 |
| Qualifying information | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780197653319 |
| Qualifying information | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0197653316 |
| Qualifying information | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780197653302 |
| Qualifying information | hardcover |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1093/oso/9780197653302.001.0001 |
| Source of number or code | doi |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5 |
| Item number | .B83 2024 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Buckner, Cameron J., |
| Relator term | author. |
| 9 (RLIN) | 65294 |
| 245 10 - TITLE STATEMENT | |
| Title | From deep learning to rational machines : |
| Remainder of title | what the history of philosophy can teach us about the future of artifical intelligence / |
| Statement of responsibility, etc. | Cameron J. Buckner. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | New York, NY : |
| Name of producer, publisher, distributor, manufacturer | Oxford University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2024] |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource : |
| Other physical details | illustrations (some color). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 341 0# - | |
| -- | textual |
| -- | sapdv |
| -- | EBSCOhost |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Moderate empiricism and machine learning -- What is deep learning, and how should we evaluate its potential? -- Perception -- Memory -- Imagination -- Attention -- Social and moral cognition. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "This book provides a framework for thinking about foundational philosophical questions surrounding machine learning as an approach to artificial intelligence. Specifically, it links recent breakthroughs in deep learning to classical empiricist philosophy of mind. In recent assessments of deep learning's current capabilities and future potential, prominent scientists have cited historical figures from the perennial philosophical debate between nativism and empiricism, which primarily concerns the origins of abstract knowledge. These empiricists were generally faculty psychologists; that is, they argued that the active engagement of general psychological faculties-such as perception, memory, imagination, attention, and empathy-enables rational agents to extract abstract knowledge from sensory experience. This book explains a number of recent attempts to model roles attributed to these faculties in deep neural network based artificial agents by appeal to the faculty psychology of philosophers such as Aristotle, Ibn Sina (Avicenna), John Locke David Hume, William James, and Sophie de Grouchy. It illustrates the utility of this interdisciplinary connection by showing how it can provide benefits to both philosophy and computer science: computer scientists can continue to mine the history of philosophy for ideas and aspirational targets to hit on the way to more robustly rational artificial agents, and philosophers can see how some of the historical empiricists' most ambitious speculations can be realized in specific computational systems"-- |
| Assigning source | Provided by publisher. |
| 532 #0 - | |
| -- | EBSCOhost |
| -- | "EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on online resource; title from home page (Oxford Academic, viewed February 12, 2025). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| General subdivision | Philosophy. |
| 9 (RLIN) | 65295 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| Source of heading or term | thema |
| 9 (RLIN) | 65296 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| Source of heading or term | ukslc |
| 9 (RLIN) | 65297 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Buckner, Cameron J. |
| Title | From deep learning to rational machines |
| Place, publisher, and date of publication | New York, NY : Oxford University Press, [2024] |
| International Standard Book Number | 9780197653302 |
| Record control number | (DLC) 2023022566 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | EBSCOhost |
| Uniform Resource Identifier | <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3706135">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3706135</a> |
| 938 ## - | |
| -- | ProQuest Ebook Central |
| -- | EBLB |
| -- | EBL7299970 |
| 938 ## - | |
| -- | Oxford University Press USA |
| -- | OUPR |
| -- | 9780197653333 |
| 938 ## - | |
| -- | EBSCOhost |
| -- | EBSC |
| -- | 3706135 |
| 994 ## - | |
| -- | 92 |
| -- | N$T |
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