scientific article; zbMATH DE number 6892982

zbMath1422.91027MaRDI QIDQ4568524

Tatiana Tatarenko

Publication date: 21 June 2018

Full work available at URL: https://link.springer.com/content/pdf/10.1007/978-3-319-65479-9.pdf

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

multi-agent systemconsensus-based distributed optimizationlearning in potential gamespotential function maximization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Stochastic programming (90C15) Research exposition (monographs, survey articles) pertaining to game theory, economics, and finance (91-02) Decentralized systems (93A14) Rationality and learning in game theory (91A26) Agent technology and artificial intelligence (68T42)

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