LEADER 00866nam0-22002771i-450- 001 990003301280403321 005 20080528150235.0 035 $a000330128 035 $aFED01000330128 035 $a(Aleph)000330128FED01 035 $a000330128 100 $a20030910d1987----km-y0itay50------ba 101 0 $aspa 105 $ay-------001yy 200 1 $aCrecimiento del empleo y cambio estructural$fOrganización para la Cooperación y el Desarrollo Económico 210 $aMadrid$cOCDE$d1987 454 0$12001$aEmployment growth and structural change$957188 610 0 $aInnovazioni tecnologiche$aAspetti economici 676 $a330.2 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003301280403321 952 $a330.2 CRE$bLINGUE 467$fDECLI 959 $aDECLI 996 $aEmployment growth and structural change$957188 997 $aUNINA LEADER 01035nam--2200361---450- 001 990002759960203316 005 20060616120454.0 035 $a000275996 035 $aUSA01000275996 035 $a(ALEPH)000275996USA01 035 $a000275996 100 $a20060616d1979----km-y0itay0103----ba 101 $aeng 102 $aUS 105 $a||||||||001yy 200 1 $a<> information processing theory of consumer choice$fJames R. Bettman 210 $aReading Mass.$cAddison-Wesley$dc1979 215 $aXIV, 402 p.$d24 cm 225 2 $aAdvances in marketing 410 0$12001$aAdvances in marketing 454 1$12001 461 1$1001-------$12001 606 0 $aConsumatori$yStati Uniti 676 $a658.3 700 1$aBETTMAN,$bJames R.$0593583 801 0$aIT$bsalbc$gISBD 912 $a990002759960203316 951 $aP08 71$bDISTRA 959 $aBK 969 $aDISTRA 979 $aDISTRA2$b10$c20060616$lUSA01$h1204 996 $aInformation processing theory of consumer choice$9998070 997 $aUNISA LEADER 02761nam 2200529 a 450 001 9910781982103321 005 20230725053520.0 010 $a1-60805-222-2 035 $a(CKB)2550000000057016 035 $a(EBL)864211 035 $a(OCoLC)779141402 035 $a(SSID)ssj0000912299 035 $a(PQKBManifestationID)11484649 035 $a(PQKBTitleCode)TC0000912299 035 $a(PQKBWorkID)11005452 035 $a(PQKB)11265137 035 $a(MiAaPQ)EBC864211 035 $a(Au-PeEL)EBL864211 035 $a(CaPaEBR)ebr10504669 035 $a(EXLCZ)992550000000057016 100 $a20111123d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAdvanced geosimulation models$b[electronic resource] /$feditors, Danielle J. Marceau & Itzhak Benenson 210 $a[Oak Park, Ill.?] $cBentham eBooks$d[2011] 215 $a1 online resource (155 p.) 300 $aDescription based upon print version of record. 311 $a1-60805-353-9 320 $aIncludes bibliographical references and index. 327 $aCONTENTS; Foreword; Preface; List of Contributors; 1. Challenges and Perspectives in Geosimulation; 2. Activity Based Variable Grid Cellular Automata for Urban and Regional Modelling; 3. Geographical Vector Agent-Based Simulation for Agricultural Land-Use Modelling; 4. Advances and Techniques for Building 3D Agent-Based Models for Urban Systems; 5. Semantically-Enhanced Virtual Geographic Environments for Multi-Agent Geo-Simulation; 6. Empirical Calibration of Spatially Explicit Agent-Based Models; 7. Geosimulation of Income-Based Urban Residential Patterns 327 $a8. Open-Ended Agent-Based Economic EvolutionIndex 330 $aGeosimulation has recently emerged at the intersection of Geographic Information Science, Complex Systems Theory and Computer Science. Geosimulation aims at understanding the dynamics of complex human-driven spatial systems through the use of spatially explicit computer simulation. The approaches and tools for validating Geosimulation models are especially important for understanding their complex and spatially heterogeneous outcomes. The Ebook presents the recent conceptual and methodological advances achieved in the field. It should be very useful for scientists and graduate students working 606 $aGeography$xSimulation methods 615 0$aGeography$xSimulation methods. 676 $a910.285 701 $aMarceau$b Danielle J$01551916 701 $aBenenson$b Itzhak$0770653 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781982103321 996 $aAdvanced geosimulation models$93811617 997 $aUNINA