LEADER 02298oam 2200553zu 450 001 9910219974903321 005 20230504193032.0 010 $a0-8330-8320-1 035 $a(CKB)3360000000476958 035 $a(SSID)ssj0001048547 035 $a(PQKBManifestationID)12435070 035 $a(PQKBTitleCode)TC0001048547 035 $a(PQKBWorkID)11015886 035 $a(PQKB)10198560 035 $a(oapen)doab115189 035 $a(EXLCZ)993360000000476958 100 $a20160829d2013 uy 101 0 $aeng 135 $aurmn|---annan 181 $ctxt 182 $cc 183 $acr 200 12$aA computational model of public support for insurgency and terrorism : a prototype for more-general social-science modeling 210 $cRAND Corporation$d2013 210 31$a[Place of publication not identified]$cRand$d2013 215 $a1 online resource 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a0-8330-7919-0 330 $aThis report builds on earlier RAND research that used qualitative conceptual causal models called "factor trees" to identify the factors that contribute to aspects of terrorism or insurgency and how the factors relate to each other. This report goes beyond the qualitative by specifying a prototype computational social-science model of public support for terrorism and insurgency. The model illustrates designing for reusability and composition. 606 $aTerrorism$xPublic opinion 606 $aInsurgency$xPublic opinion 606 $aTerrorism$xPrevention 606 $aSocial Welfare & Social Work$2HILCC 606 $aSocial Sciences$2HILCC 606 $aCriminology, Penology & Juvenile Delinquency$2HILCC 615 0$aTerrorism$xPublic opinion. 615 0$aInsurgency$xPublic opinion. 615 0$aTerrorism$xPrevention. 615 7$aSocial Welfare & Social Work 615 7$aSocial Sciences 615 7$aCriminology, Penology & Juvenile Delinquency 676 $a303.6/2501 700 $aDavis$b Paul K$01242662 702 $aO'Mahony$b Angela 801 0$bPQKB 906 $aBOOK 912 $a9910219974903321 996 $aA computational model of public support for insurgency and terrorism : a prototype for more-general social-science modeling$92882647 997 $aUNINA LEADER 01928nam0 22005173i 450 001 VAN00297745 005 20251013114415.927 017 70$2N$a9781461561354 100 $a20250903d1997 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aFuzzy Evolutionary Computation$fedited by Witold Pedrycz 210 $aNew York$cSpringer$cKluwer$d1997 215 $axi, 320 p.$d24 cm 606 $a00B15$xCollections of articles of miscellaneous specific interest [MSC 2020]$3VANC023985$2MF 606 $a03E72$xTheory of fuzzy sets, etc. [MSC 2020]$3VANC029539$2MF 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 610 $aAlgorithms$9KW:K 610 $aClassification$9KW:K 610 $aEvolution$9KW:K 610 $aEvolutionary algorithms$9KW:K 610 $aEvolutionary computation$9KW:K 610 $aFuzzy$9KW:K 610 $aGenetic Algorithms$9KW:K 610 $aIntelligent Systems$9KW:K 610 $aKnowledge$9KW:K 610 $aLearning$9KW:K 610 $aOptimization$9KW:K 610 $aRobot$9KW:K 610 $aSets$9KW:K 620 $aUS$dNew York$3VANL000011 702 1$aPedrycz$bWitold$3VANV084497$4340 712 $aKluwer $3VANV108116$4650 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20251107$gRICA 856 4 $uhttps://doi.org/10.1007/978-1-4615-6135-4$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00297745 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 12505 $e08eMF12505 20251006 996 $aFuzzy evolutionary computation$91492398 997 $aUNICAMPANIA