MARC details
000 -LEADER |
fixed length control field |
03880cam a2200421 i 4500 |
001 - CONTROL NUMBER |
control field |
on1198017706 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20210610101233.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
201110t20212021mau b 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2020050249 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
MH/DLC |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
DLC |
Modifying agency |
OCLCO |
-- |
OCLCF |
-- |
BDX |
-- |
YDX |
-- |
MTG |
-- |
IJ5 |
-- |
VP@ |
-- |
NFG |
019 ## - |
-- |
1245963304 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780674983519 |
Qualifying information |
(hardcover) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
0674983513 |
Qualifying information |
(hardcover) |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(OCoLC)1198017706 |
Canceled/invalid control number |
(OCoLC)1245963304 |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) |
Classification number |
006.3 |
Item number |
L334 |
049 ## - LOCAL HOLDINGS (OCLC) |
Holding library |
NFGA |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Larson, Erik J. |
Fuller form of name |
(Erik John), |
Relator term |
author. |
245 14 - TITLE STATEMENT |
Title |
The myth of artificial intelligence : |
Remainder of title |
why computers can't think the way we do / |
Statement of responsibility, etc |
Erik J. Larson. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS |
Place of production, publication, distribution, manufacture |
Cambridge, Massachusetts : |
Name of producer, publisher, distributor, manufacturer |
The Belknap Press of Harvard University Press, |
Date of production, publication, distribution, manufacture |
2021. |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS |
Date of production, publication, distribution, manufacture |
©2021 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
viii, 312 pages ; |
Dimensions |
22 cm |
336 ## - CONTENT TYPE |
Content Type Term |
text |
Content Type Code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media Type Term |
unmediated |
Media Type Code |
n |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier Type Term |
volume |
Carrier Type Code |
nc |
Source |
rdacarrier |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Part One. The simplified world: The intelligence errors -- Turing at Bletchley -- The superintelligence error -- The singularity, then and now -- Natural language understanding -- AI as technological kitsch -- Simplifications and mysteries -- Part Two. The problem of inference: Don't calculate, analyze -- The puzzle of Peirce (and Peirce's Puzzle) -- Problems with deduction and induction -- Machine learning and big data -- Abductive inference -- Inference and language I -- Inference and language II -- Part Three. The future of the myth: Myths and heroes -- AI mythology invades neuroscience -- Neocortical theories of human intelligence -- The end of science? |
520 ## - SUMMARY, ETC. |
Summary, etc |
"Futurists are certain that humanlike AI is on the horizon, but in fact engineers have no idea how to program human reasoning. AI reasons from statistical correlations across data sets, while common sense is based heavily on conjecture. Erik Larson argues that hyping existing methods will only hold us back from developing truly humanlike AI"-- |
Assigning source |
Provided by publisher. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. A tech entrepreneur and pioneering research scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence, and what it would take to get there. Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. This is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets: we make conjectures informed by context and experience. Human intelligence is a web of best guesses, given what we know about the world. We haven't a clue how to program this kind of intuitive reasoning, known as abduction. Yet it is the heart of common sense. That's why Alexa can't understand what you are asking, and why AI can only take us so far. Larson argues that AI hype is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know--our own."-- |
Assigning source |
Provided by publisher. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial intelligence. |
9 (RLIN) |
24860 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Intellect. |
9 (RLIN) |
40912 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Inference. |
9 (RLIN) |
369329 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Logic. |
9 (RLIN) |
40092 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Natural language processing (Computer science) |
9 (RLIN) |
199225 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Neurosciences. |
9 (RLIN) |
70832 |
994 ## - |
-- |
C0 |
-- |
NFG |