LEADER 01729nam0 22003973i 450 001 AQ10007617 005 20251003044041.0 010 $a0387580581$bNew York 010 $a3540580581$bBerlin 100 $a20120116d1994 ||||0itac50 ba 101 | $aeng 102 $ade 181 1$6z01$ai $bxxxe 182 1$6z01$an 183 1$6z01$anc$2RDAcarrier 200 1 $aQualitative representation of spatial knowledge$fDaniel Hernández 210 $aBerlin [etc.]$cSpringer$dc1994 215 $aIX, 202 p.$d24 cm 225 | $aLecture notes in computer science$fedited by G. Goos and J. Hartmanis$i. Lecture notes in artificial intelligence$v804 410 0$1001MIL0132980$12001 $aLecture notes in computer science$fedited by G. Goos and J. Hartmanis$i. Lecture notes in artificial intelligence$v804 606 $aIntelligenza artificiale$2FIR$3CFIC006750$9E 606 $aStatistica$xMetodi matematici$2FIR$3CFIC003741$9E 676 $a006.3$9INTELLIGENZA ARTIFICIALE$v14 676 $a006.33$9Sistemi fondati sulla rappresentazione della conoscenza$v22 696 $aIA 696 $aScienze statistiche 699 $aIntelligenza artificiale$yIA 699 $aStatistica$yScienze statistiche 700 1$aHernández$b, Daniel$f <1961- >$3AQ1V004024$4070$0714644 801 3$aIT$bIT-000000$c20120116 850 $aIT-BN0095 912 $aAQ10007617 950 0$aBiblioteca Centralizzata di Ateneo$c43 v.$d 01COLL. ING LNAI$e 0102 0000023535 VMA A4(0804 v. 804$fY $h19960301$i20120116 977 $a 01 996 $aQualitative representation of spatial knowledge$91381983 997 $aUNISANNIO