01582nam0 2200325 i 450 SUN012406420191014031012.4890.00N978-3-319-65479-920191007d2017 |0engc50 baengCH|||| |||||*Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent SystemsTatiana TatarenkoCham : Springer, 2017ix171 p.ill. ; 24 cmPubblicazione in formato elettronico91-XXGame theory, economics, finance, and other social and behavioral sciences [MSC 2020]MFSUNC02560160J20Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]MFSUNC02936791A40Other game-theoretic models [MSC 2020]MFSUNC02937991A26Rationality and learning in game theory [MSC 2020]MFSUNC035198CHChamSUNL001889Tatarenko, TatianaSUNV095539767480SpringerSUNV000178650ITSOL20210503RICAhttp://doi.org/10.1007/978-3-319-65479-9SUN0124064UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 0683 08eMF683 20191007 Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems1562496UNICAMPANIA