LEADER 01582nam0 2200325 i 450 
001 SUN0124064
005 20191014031012.489
010   $d0.00
017 70$2N$a978-3-319-65479-9
100   $a20191007d2017       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems$fTatiana Tatarenko
205   $aCham : Springer, 2017
210   $aix$d171 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
606   $a91-XX$xGame theory, economics, finance, and other social and behavioral sciences [MSC 2020]$2MF$3SUNC025601
606   $a60J20$xApplications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]$2MF$3SUNC029367
606   $a91A40$xOther game-theoretic models [MSC 2020]$2MF$3SUNC029379
606   $a91A26$xRationality and learning in game theory [MSC 2020]$2MF$3SUNC035198
620   $aCH$dCham$3SUNL001889
700  1$aTatarenko$b, Tatiana$3SUNV095539$0767480
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210503$gRICA
856 4 $uhttp://doi.org/10.1007/978-3-319-65479-9
912   $aSUN0124064
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                  0683        $e08eMF683               20191007            
996   $aGame-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems$91562496
997   $aUNICAMPANIA