LEADER 03522nam 22005895 450 001 996234844703316 005 20240410011103.0 010 $a3-11-040136-3 010 $a3-11-040138-X 024 7 $a10.1515/9783110401363 035 $a(CKB)3710000000393020 035 $a(EBL)2028785 035 $a(SSID)ssj0001457548 035 $a(PQKBManifestationID)11861655 035 $a(PQKBTitleCode)TC0001457548 035 $a(PQKBWorkID)11441308 035 $a(PQKB)10927952 035 $a(DE-B1597)443664 035 $a(OCoLC)908074070 035 $a(DE-B1597)9783110401363 035 $a(MiAaPQ)EBC2028785 035 $a(EXLCZ)993710000000393020 100 $a20200623h20152015 fg 101 0 $ager 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMit allem rechnen - zur Philosophie der Computersimulation /$fJohannes Lenhard 205 $a1st ed. 210 1$aBerlin ;$aBoston : $cDe Gruyter, $d[2015] 210 4$d©2015 215 $a1 online resource (222 p.) 225 0 $aIdeen & Argumente 300 $aDescription based upon print version of record. 311 $a3-11-040117-7 320 $aIncludes bibliographical references and indexes. 327 $tFrontmatter -- $tVorwort -- $tInhalt -- $tEinleitung -- $t1. Experiment und Artifizialität -- $t2. Visualisierung und Interaktion -- $t3. Plastizität -- $t4. Epistemische Opazität -- $t5. Ein neuer Typ mathematischer Modellierung -- $t6. Lösung oder Imitation? -- $t7. Validierung und Grenzen der Analyse -- $t8. Epistemologie und Simulation ? Fazit und Ausblick -- $tLiteratur -- $tNamenindex -- $tSachindex 330 $aHow have computers and simulation models changed scientific practice? Johannes Lenhard examines the methodology and epistemic nature of computer simulations. The conception of mathematical modeling that has so dominated modern science is undergoing redefinition: theory and technology are becoming inseparably connected, thereby resulting in a convergence of the natural and engineering sciences. 330 $aIm vorliegenden Buch geht es um die methodologische und epistemologische Charakterisierung der Computersimulation. Zu diesem Zweck werden Computermodelle vor der Kontrastfolie mathematischer Modelle betrachtet. Eine Strategie der Mathematisierung zielt darauf ab, komplexe Phänomene in idealisierter Form zu modellieren und so die Komplexität zu reduzieren. Die Simulation markiert das Ende dieser Strategie: Die Modelle werden nun selbst komplex und erhalten eine partielle Autonomie.Insbesondere der Prozess der Simulationsmodellierung erfährt gegenüber traditioneller mathematischer Modellierung eine Transformation. Als zentrale Merkmale der Simulationsmodellierung werden anhand typischer Beispiele analysiert: Artifizialität, Experimentieren, Visualisierung, Plastizität und epistemische Opazität. Erst aus der Verknüpfung dieser Merkmale resultiert ein philosophisch neuartiges Bild, das wiederum zum Diskurs um das Verhältnis von Wissenschaft und Technik beiträgt. 410 0$aIdeen & Argumente. 606 $aComputer simulation 615 0$aComputer simulation. 676 $a303/.3 686 $aCC 8700$qHBZ$2rvk 700 $aLenhard$b Johannes, $4aut$4http://id.loc.gov/vocabulary/relators/aut$01012553 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a996234844703316 996 $aMit allem rechnen - zur Philosophie der Computersimulation$92351502 997 $aUNISA LEADER 03044nam 2200565Ia 450 001 9911019411303321 005 20230721005118.0 010 $a1-119-19742-2 010 $a1-282-11426-3 010 $a9786612114267 010 $a0-470-47810-1 035 $a(CKB)1000000000719432 035 $a(EBL)427553 035 $a(OCoLC)476268921 035 $a(SSID)ssj0000218972 035 $a(PQKBManifestationID)12028223 035 $a(PQKBTitleCode)TC0000218972 035 $a(PQKBWorkID)10227817 035 $a(PQKB)11306061 035 $a(MiAaPQ)EBC427553 035 $a(EXLCZ)991000000000719432 100 $a20081222d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aPay for results$b[electronic resource] $ealigning executive compensation with business performance /$fMercer 210 $aHoboken, N.J. $cWiley$dc2009 215 $a1 online resource (259 p.) 300 $aIncludes index. 311 $a0-470-47811-X 311 $a0-470-18390-X 327 $aPay for Results: Aligning Executive Compensation with Business Performance; Contents; Preface; Acknowledgments; Chapter 1: A New Day: The Call for a Demonstrable Link between Pay and Performance; Chapter 2: The Million Dollar Question: What Is Good Performance?; Chapter 3: Back to Basics: An Introduction to Mercer's Performance Framework; Chapter 4: Trust, but Verify: Bringing Defensibility to Performance Metric Selection; Chapter 5: Making It Count: The Case for the Unbalanced Scorecard to Drive Behavior; Chapter 6: There's Nobody Quite Like Us: The Ins and Outs of Meaningful Peer Comparison 327 $aChapter 7: You Don't Need a Crystal Ball: Taking the Guesswork out of Target SettingChapter 8: Passing the Big Test: Calibrating Pay and Performance; Chapter 9: Now What? Avoid Managing by Exception; Chapter 10: More Than the Sum of Its Parts: Bringing It All Together; About the Authors; Index 330 $aThe numerous incentive approaches and combinations and their implications can be dizzying even to the compensation professional. Pay for Results provides a road map for developing and implementing executive incentives that drive business needs and strategy. It is filled with specific analytic tools, including tables, exhibits, forms, checklists. In addition, it uncovers myths in performance measurement strategy and design. Timely and thorough, this book expertly shows businesses how to drive their specific needs and strategy. Human resources and compensation officers will discover how to apply 606 $aExecutives$xSalaries, etc 606 $aChief executive officers$xSalaries, etc 615 0$aExecutives$xSalaries, etc. 615 0$aChief executive officers$xSalaries, etc. 676 $a658.3225 676 $a658.4/072 712 02$aMercer (Firm) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019411303321 996 $aPay for results$94419420 997 $aUNINA