LEADER 02228nam0 2200445 i 450 001 VAN00124064 005 20240806100815.375 017 70$2N$a9783319654799 100 $a20191007d2017 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aGame-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems$fTatiana Tatarenko 210 $aCham$cSpringer$d2017 215 $aix, 171 p.$cill.$d24 cm 500 1$3VAN00235621$aGame-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems$91562496 606 $a60J20$xApplications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]$3VANC029367$2MF 606 $a91-XX$xGame theory, economics, finance, and other social and behavioral sciences [MSC 2020]$3VANC025601$2MF 606 $a91A26$xRationality and learning in game theory [MSC 2020]$3VANC035198$2MF 606 $a91A40$xOther game-theoretic models [MSC 2020]$3VANC029379$2MF 610 $aConsensus-based algorithms$9KW:K 610 $aDistributed Optimization$9KW:K 610 $aGame Theory$9KW:K 610 $aGame-theoretic approach to optimization$9KW:K 610 $aGame-theoretic learning$9KW:K 610 $aLearning algorithms$9KW:K 610 $aMulti-agent Optimization$9KW:K 610 $aPotential games$9KW:K 610 $aStochastic methods$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aTatarenko$bTatiana$3VANV095539$0767480 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240906$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-65479-9$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 $aVAN00124064 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 0683 $e08eMF683 20191007 996 $aGame-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems$91562496 997 $aUNICAMPANIA