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[e altri], editors 210 $aCambridge$cCambridge university press$dc2006 215 $aviii, 394 p.$d24 cm 225 1 $aLondon Mathematical Society lecture note series$v331 610 0 $aCalcolo delle variazioni$aCongressi 610 0 $aAnalisi numerica$aCongressi 676 $a511.4$v21$zita 700 1$aPardo,$bLuis M.$0501620 701 1$aPinkus,$bAllan M.$f<1946- >$0349743 702 1$aSuli,$bEndre 702 1$aTodd,$bJames P. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008410920403321 952 $aC-9-(331$b21626$fMA1 959 $aMA1 962 $a65-06 962 $a49-06 962 $a68-06 996 $aFoundations of computational mathematics, Santander 2005$9726367 997 $aUNINA LEADER 01535nas 2200517-a 450 001 996200814603316 005 20230518213020.0 011 $a1253-0476 035 $a(DE-599)ZDB2405667-4 035 $a(OCoLC)54615405 035 $a(CKB)111035488305004 035 $a(CONSER)--2011235762 035 $a(EXLCZ)99111035488305004 100 $a20040308a19939999 --- - 101 0 $afre 135 $aurmnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDécisions marketing $eDM 210 $aParis $cAssociation française du marketing$d1993- 300 $aRefereed/Peer-reviewed 300 $aTitle from PDF cover (JSTOR, viewed July 22, 2011). 311 $a0779-7389 517 3 $aDM 606 $aMarketing$zEurope$vPeriodicals 606 $aMarketing$zFrance$vPeriodicals 606 $aConsumer behavior$zEurope$vPeriodicals 606 $aConsumer behavior$zFrance$vPeriodicals 606 $aConsumer behavior$2fast$3(OCoLC)fst00876238 606 $aMarketing$2fast$3(OCoLC)fst01010167 607 $aEurope$2fast 607 $aFrance$2fast 608 $aPeriodicals.$2fast 615 0$aMarketing 615 0$aMarketing 615 0$aConsumer behavior 615 0$aConsumer behavior 615 7$aConsumer behavior. 615 7$aMarketing. 676 $a658.8 712 02$aAssociation française du marketing. 906 $aJOURNAL 912 $a996200814603316 996 $aDécisions marketing$92194756 997 $aUNISA LEADER 04686nam 22006135 450 001 9910154844503321 005 20200705065347.0 010 $a1-4939-6616-2 024 7 $a10.1007/978-1-4939-6616-5 035 $a(CKB)4340000000024104 035 $a(DE-He213)978-1-4939-6616-5 035 $a(MiAaPQ)EBC4768407 035 $a(PPN)197453694 035 $a(EXLCZ)994340000000024104 100 $a20161209d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMental Modeling Approach $eRisk Management Application Case Studies /$fby Matthew D. Wood, Sarah Thorne, Daniel Kovacs, Gordon Butte, Igor Linkov 205 $a1st ed. 2017. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2017. 215 $a1 online resource (XXVII, 261 p. 66 illus., 61 illus. in color.) 225 1 $aRisk, Systems and Decisions,$x2626-6717 311 $a1-4939-6614-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a1. An Introduction to Mental Modeling -- Part I.The Mental Modeling Approach -- 2.Mental Modeling Research Technical Approach -- 3.Science of Mental Modeling -- Part II.Applications at U.S. Army Corps of Engineers (USACE) -- 4.Flood Risk Management -- 5.Adaptive Management for Climate Change -- 6.Technology Infusion and Marketing -- Part III.Applications in Other Contexts and Industries -- 7.Farmers? Decision Making to Avoid Drug Residues in Dairy Cows -- 8.Influences of the CHEMM Tool on Planning, Preparedness, and Emergency Response to Hazardous Chemical Exposures: A Customized Strategic Communications Process Based on Mental Modeling -- 9.The Chamber of Mines of South Africa Leading Practice Adoption System -- 10.Conducting Effective Outreach with Community Stakeholders about Biosolids: A Customized Strategic Risk Communications ProcessTM Based on Mental Modeling -- 11.Using Mental Modeling to Systematically Build Community Support for New Coal Technologies for Electricity Generation -- 12.Saving Lives from a Silent Killer: Using Mental Modeling to Address Homeowners? Decision Making about Carbon Monoxide Poisoning -- 13.U.S. Census Bureau Integrated Communications Services for Data Dissemination: Mental Modeling Case Study with Key Internal Expert Stakeholders -- Part IV.Mental Modeling Software Support -- 14.Supporting and Expanding the Scope and Application of Mental Modeling ? Current and Future Software Developments. 330 $aThis book provides an easy-to-read, user-oriented introduction to mental models research and Mental Modeling TechnologyTM. Mental models are powerful influences human behavior. The book offers insight from the developers and most experienced application professionals of a widely proven methodology for understanding and influencing human judgment, decision making and behavior. The case studies show examples of the methodological concepts in their application context. It is one of the most comprehensive collections of cases focused on government needs of any similar qualitative analysis approach. Finally, it presents an introduction to software tools and tutorials that enable readers to use the approach for their own research needs. 410 0$aRisk, Systems and Decisions,$x2626-6717 606 $aEnvironmental management 606 $aComputer simulation 606 $aEnergy policy 606 $aEnergy policy 606 $aEnvironmental Management$3https://scigraph.springernature.com/ontologies/product-market-codes/U17009 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aEnergy Policy, Economics and Management$3https://scigraph.springernature.com/ontologies/product-market-codes/112000 615 0$aEnvironmental management. 615 0$aComputer simulation. 615 0$aEnergy policy. 615 0$aEnergy policy. 615 14$aEnvironmental Management. 615 24$aSimulation and Modeling. 615 24$aEnergy Policy, Economics and Management. 676 $a333.7 700 $aWood$b Matthew D$4aut$4http://id.loc.gov/vocabulary/relators/aut$0929293 702 $aThorne$b Sarah$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKovacs$b Daniel$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aButte$b Gordon$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLinkov$b Igor$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910154844503321 996 $aMental Modeling Approach$92513997 997 $aUNINA