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100   $a20131022d2007    ||||0itac50      ba
101 | $aeng$ceng
102   $aus
181  1$6z01$ai $bxxxe  
182  1$6z01$an
200 1 $aReliable reasoning$einduction and statistical learning theory$fGilbert Harman and Sanjeev Kulkarni
210   $aCambridge [MA]$cThe MIT Press$dc2007
215   $aX, 108 p.$d23 cm.
225 | $a˜The œJean Nicod lectures
410  0$1001MIL0216875$12001 $a˜The œJean Nicod lectures
500 10$aReliable reasoning$3USM0043446$9MILV013515$93614816
606   $aRagionamento$2FIR$3RMLC091843$9I
676   $a161$9$v21
700  1$aHarman$b, Gilbert Helms$3MILV013515$01442324
701  1$aKulkarni$b, Sanjeev$3PUVV378964$0502753
790  1$aHarman$b, Gilbert H.$3NAPV202513$zHarman, Gilbert Helms
790  1$aHarman$b, Gilbert$3TSAV364958$zHarman, Gilbert Helms
801  3$aIT$bIT-01$c20131022
850   $aIT-FR0017          
899   $aBiblioteca umanistica Giorgio Aprea$bFR0017          
912   $aPUV1095823
950  0$aBiblioteca umanistica Giorgio Aprea$d 52MAG       8/586$e 52FC 0000010315  VMN RS                    $fA $h20131022$i20131022
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996   $aReliable reasoning$93614816
997   $aUNICAS