LEADER 01490nam0 2200385 i 450 001 MIL0419581 005 20231121125547.0 010 $a8806151711 020 $aIT$b2000-1638 100 $a20080103d1999 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aStoria della biologia$fPascal Duris e Gabriel Gohau 210 $aTorino$cG. Einaudi$d\1999! 215 $aXII, 463 p.$cill.$d20 cm 225 | $aPiccola biblioteca Einaudi. Nuova serie$v9 300 $aTrad. di Pier Daniele Napolitani. 410 0$1001CFI0443477$12001 $aPiccola biblioteca Einaudi. Nuova serie$v9 500 10$aHistoire des sciences de la vie.$3MIL0419584$9BVEV018418$93610521 606 $aBiologia$xStoria$2FIR$3RMLC211309$9I 676 $a570$9Scienze della vita$v21 676 $a570.9$9$v21 700 1$aDuris$b, Pascal$3BVEV018418$4070$062203 701 1$aGohau$b, Gabriel$3IEIV024375$4070$062204 801 3$aIT$bIT-01$c20080103 850 $aIT-FR0084 $aIT-FR0017 899 $aBiblioteca Del Monumento Nazionale Di Montecassino$bFR0084 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 $eN 912 $aMIL0419581 950 0$aBiblioteca umanistica Giorgio Aprea$d 52MAG 1 COLL O 9$e 52FLS0000197345 VMB RS $fA $h20200312$i20200312 977 $a 25$a 52 996 $aHistoire des sciences de la vie$93610521 997 $aUNICAS LEADER 03320nam 22006495 450 001 9911021143603321 005 20260216162749.0 010 $a3-031-73354-1 024 7 $a10.1007/978-3-031-73354-3 035 $a(CKB)40378593700041 035 $a(MiAaPQ)EBC32265665 035 $a(Au-PeEL)EBL32265665 035 $a(DE-He213)978-3-031-73354-3 035 $a(OCoLC)1534190618 035 $a(EXLCZ)9940378593700041 100 $a20250819d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning Perspectives of Agent-Based Models $ePractical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia /$fedited by Pedro Campos, Anand Rao, Joaquim Margarido 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (449 pages) 225 0 $aMathematics and Statistics Series 311 08$a3-031-73353-3 327 $aAgent-Based Models and the Economics of Crisis -- The Machine Learning perspective -- Setting up Agent-Based Models of Crisis (Microeconomic Model of Crisis; Virus on a Network Spread Model) -- Developing models with Python and R. 330 $aThis book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems, with a special focus on the emerging properties of heterogeneous agents that cannot be deduced from the characteristics of individual agents. ABM is highlighted as a powerful tool for studying economics, especially in the context of financial crises and pandemics, where traditional models, such as dynamic stochastic general equilibrium (DSGE) models, have proven inadequate. Containing numerous practical examples and applications with R, Python, Julia and Netlogo, the book explores how learning, particularly machine learning, can be integrated into multi-agent systems to enhance the adaptation and behavior of agents in dynamic environments. It compares different learning approaches, including game theory and artificial intelligence, highlighting the advantages of each in modeling economic phenomena. 606 $aStatistics 606 $aBiometry 606 $aStatistics 606 $aStatistical Theory and Methods 606 $aBiostatistics 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aAprenentatge automātic$2thub 606 $aSistemes multiagent$2thub 608 $aLlibres electrōnics$2thub 615 0$aStatistics. 615 0$aBiometry. 615 0$aStatistics. 615 14$aStatistical Theory and Methods. 615 24$aBiostatistics. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 7$aAprenentatge automātic 615 7$aSistemes multiagent 676 $a519.5 700 $aCampos$b Pedro$01844459 701 $aRao$b Anand$01844460 701 $aMargarido$b Joaquim$01844461 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911021143603321 996 $aMachine Learning Perspectives of Agent-Based Models$94427118 997 $aUNINA LEADER 01156nas 2200409 c 450 001 9910894816703321 005 20260218110250.0 035 $a(CKB)3790000000118330 035 $a(DE-599)ZDB2566863-8 035 $a(OCoLC)1026974043 035 $a(OCoLC)654400991 035 $a(OCoLC)705713134 035 $a(DE-101)1005281939 035 $a(DE-599)2566863-8 035 $a(EXLCZ)993790000000118330 100 $a20100802a20079999 |y | 101 0 $ager 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEnercity report$eGeschäfts- und Nachhaltigkeitsbericht der Stadtwerke Hannover AG ; Jahresabschluss und Kennzahlen 210 31$aHannover$cStadtwerke$d2007- 215 $aOnline-Ressource 300 $aGesehen am 09.08.11 517 1 $aGescha?ftsbericht 608 $aZeitschrift$2gnd-content 608 $aStatistik$2gnd-content 676 $a330 712 02$aStadtwerke$4isb 801 0$b4019 801 1$bDE-101 801 2$b9001 906 $aJOURNAL 912 $a9910894816703321 996 $aEnercity report$94259307 997 $aUNINA