LEADER 01134nam0-22004331i-450- 001 990001357970403321 005 20040517164330.0 010 $a0-471-71804-1 035 $a000135797 035 $aFED01000135797 035 $a(Aleph)000135797FED01 035 $a000135797 100 $a20001205d1972----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $ay-------001yy 200 1 $aAlgebraic numbers$fPaulo Ribenboim 210 $aNew York [etc.]$cWiley-Interscience$dc1972 215 $axi, 300 p.$d24 cm 225 1 $aPure and applied mathematics$vvol. 27 610 0 $aTeoria dei campi 610 0 $aTeoria algebrica dei numeri 610 0 $aAlgebra 610 0 $aTeoria delle equazioni 610 0 $aCalcolo vettoriale 700 1$aRibenboim,$bPaulo$f<1928- >$013070 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001357970403321 952 $a10-154F$fFI1 952 $a26-H-27$b12185$fMA1 959 $aFI1 959 $aMA1 959 $aDRCN 962 $a12-02 962 $a11RXX 962 $a11-02 996 $aAlgebraic numbers$9375170 997 $aUNINA LEADER 03550nam 22007215 450 001 996465844703316 005 20200702151704.0 010 $a3-540-40044-3 024 7 $a10.1007/3-540-40044-3 035 $a(CKB)1000000000211242 035 $a(SSID)ssj0000321019 035 $a(PQKBManifestationID)11246883 035 $a(PQKBTitleCode)TC0000321019 035 $a(PQKBWorkID)10276812 035 $a(PQKB)10558662 035 $a(DE-He213)978-3-540-40044-8 035 $a(MiAaPQ)EBC3072774 035 $a(PPN)155215469 035 $a(EXLCZ)991000000000211242 100 $a20121227d2000 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Robot Learning$b[electronic resource] $e8th European Workhop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings /$fedited by Jeremy Wyatt, John Demiris 205 $a1st ed. 2000. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2000. 215 $a1 online resource (VIII, 172 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v1812 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-41162-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aMap Building through Self-Organisation for Robot Navigation -- Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning -- Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically?Rearranging Neural Network Approach -- How Does a Robot Find Redundancy by Itself? -- Learning Robot Control by Relational Concept Induction with Iteratively Collected Examples -- Reinforcement Learning in Situated Agents: Theoretical Problems and Practical Solutions -- A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment -- Probabilistic and Count Methods in Map Building for Autonomous Mobile Robots -- Biologically-Inspired Visual Landmark Learning for Mobile Robots. 410 0$aLecture Notes in Artificial Intelligence ;$v1812 606 $aArtificial intelligence 606 $aRobotics 606 $aAutomation 606 $aComputer simulation 606 $aControl engineering 606 $aMechatronics 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aControl, Robotics, Mechatronics$3https://scigraph.springernature.com/ontologies/product-market-codes/T19000 615 0$aArtificial intelligence. 615 0$aRobotics. 615 0$aAutomation. 615 0$aComputer simulation. 615 0$aControl engineering. 615 0$aMechatronics. 615 14$aArtificial Intelligence. 615 24$aRobotics and Automation. 615 24$aSimulation and Modeling. 615 24$aControl, Robotics, Mechatronics. 676 $a629.8/9263 702 $aWyatt$b Jeremy$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDemiris$b John$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aEuropean Workshop on Learning Robots 906 $aBOOK 912 $a996465844703316 996 $aAdvances in Robot Learning$91980336 997 $aUNISA