The art of causal conjecture / (Record no. 39414)

000 -LEADER
fixed length control field 03329nam a2200517 i 4500
001 - CONTROL NUMBER
control field 6267502
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190220121648.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |n|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151229s1996 maua ob 001 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
Canceled/invalid LC control number 96012572 (print)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262290999
Qualifying information electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780262193689
Qualifying information print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 026219368X
Qualifying information alk. paper
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)mat06267502
035 ## - SYSTEM CONTROL NUMBER
System control number (IDAMS)0b000064818b4510
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q335
Item number .S45 1996eb
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2/01
Edition number 20
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Shafer, Glenn,
Dates associated with a name 1946-
245 14 - TITLE STATEMENT
Title The art of causal conjecture /
Statement of responsibility, etc. Glenn Shafer.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge, Massachusetts :
Name of producer, publisher, distributor, manufacturer MIT Press,
Date of production, publication, distribution, manufacture, or copyright notice c1996.
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture [Piscataqay, New Jersey] :
Name of producer, publisher, distributor, manufacturer IEEE Xplore,
Date of production, publication, distribution, manufacture, or copyright notice [1996]
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xx, 511 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Artificial intelligence series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. [491]-500) and index.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Restricted to subscribers or individual electronic text purchasers.
520 ## - SUMMARY, ETC.
Summary, etc. In The Art of Causal Conjecture, Glenn Shafer lays out a new mathematical and philosophical foundation for probability and uses it to explain concepts of causality used in statistics, artificial intelligence, and philosophy.The various disciplines that use causal reasoning differ in the relative weight they put on security and precision of knowledge as opposed to timeliness of action. The natural and social sciences seek high levels of certainty in the identification of causes and high levels of precision in the measurement of their effects. The practical sciences--medicine, business, engineering, and artificial intelligence--must act on causal conjectures based on more limited knowledge. Shafer's understanding of causality contributes to both of these uses of causal reasoning. His language for causal explanation can guide statistical investigation in the natural and social sciences, and it can also be used to formulate assumptions of causal uniformity needed for decision making in the practical sciences.Causal ideas permeate the use of probability and statistics in all branches of industry, commerce, government, and science. The Art of Causal Conjecture shows that causal ideas can be equally important in theory. It does not challenge the maxim that causation cannot be proven from statistics alone, but by bringing causal ideas into the foundations of probability, it allows causal conjectures to be more clearly quantified, debated, and confronted by statistical evidence.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on PDF viewed 12/29/2015.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Causation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Prediction (Logic)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probabilities.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element IEEE Xplore (Online Service),
Relator term distributor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element MIT Press,
Relator term publisher.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9780262193689
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Artificial intelligence (Cambridge, Mass.)
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267502

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