LEADER 03423nam 22006852 450 001 9910450548703321 005 20151005020621.0 010 $a1-107-12249-X 010 $a1-280-43029-X 010 $a9786610430291 010 $a0-511-17479-9 010 $a0-511-02068-6 010 $a0-511-15484-4 010 $a0-511-30239-8 010 $a0-511-61294-X 010 $a0-511-04748-7 035 $a(CKB)1000000000008160 035 $a(EBL)201956 035 $a(OCoLC)437063337 035 $a(SSID)ssj0000263898 035 $a(PQKBManifestationID)11212839 035 $a(PQKBTitleCode)TC0000263898 035 $a(PQKBWorkID)10283753 035 $a(PQKB)11516134 035 $a(UkCbUP)CR9780511612947 035 $a(MiAaPQ)EBC201956 035 $a(Au-PeEL)EBL201956 035 $a(CaPaEBR)ebr10014601 035 $a(CaONFJC)MIL43029 035 $a(EXLCZ)991000000000008160 100 $a20090914d2001|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUncertain inference /$fHenry E. Kyburg, Jr. and Choh Man Teng$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2001. 215 $a1 online resource (xii, 298 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-00101-3 311 $a0-521-80064-1 320 $aIncludes bibliographical references and indexes. 327 $aCover; Half-title; Title; Copyright; Contents; Preface; 1 Historical Background; 2 First Order Logic; 3 The Probability Calculus; 4 Interpretations of Probability; 5 Nonstandard Measures of Support; 6 Nonmonotonic Reasoning; 7 Theory Replacement; 8 Statistical Inference; 9 Evidential Probability; 10 Semantics; 11 Applications; 12 Scientific Inference; Names Index; Index 330 $aCoping with uncertainty is a necessary part of ordinary life and is crucial to an understanding of how the mind works. For example, it is a vital element in developing artificial intelligence that will not be undermined by its own rigidities. There have been many approaches to the problem of uncertain inference, ranging from probability to inductive logic to nonmonotonic logic. Thisbook seeks to provide a clear exposition of these approaches within a unified framework. The principal market for the book will be students and professionals in philosophy, computer science, and AI. Among the special features of the book are a chapter on evidential probability, which has not received a basic exposition before; chapters on nonmonotonic reasoning and theory replacement, matters rarely addressed in standard philosophical texts; and chapters on Mill's methods and statistical inference that cover material sorely lacking in the usual treatments of AI and computer science. 606 $aUncertainty (Information theory) 606 $aProbabilities 606 $aLogic, Symbolic and mathematical 615 0$aUncertainty (Information theory) 615 0$aProbabilities. 615 0$aLogic, Symbolic and mathematical. 676 $a003/.54 700 $aKyburg$b Henry Ely$f1928-$012432 702 $aTeng$b Choh Man 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910450548703321 996 $aUncertain inference$92449932 997 $aUNINA