Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems

Nonfiction, Science & Nature, Science, Other Sciences, System Theory, Mathematics, Game Theory, Reference & Language, Reference
Cover of the book Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems by Tatiana Tatarenko, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Tatiana Tatarenko ISBN: 9783319654799
Publisher: Springer International Publishing Publication: September 19, 2017
Imprint: Springer Language: English
Author: Tatiana Tatarenko
ISBN: 9783319654799
Publisher: Springer International Publishing
Publication: September 19, 2017
Imprint: Springer
Language: English

This book presents new efficient methods for optimization in realistic large-scale, multi-agent systems. These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained during communication with their local neighbors. The book, primarily aimed at researchers in optimization and control, considers three different information settings in multi-agent systems: oracle-based, communication-based, and payoff-based. For each of these information types, an efficient optimization algorithm is developed, which leads the system to an optimal state. The optimization problems are set without such restrictive assumptions as convexity of the objective functions, complicated communication topologies, closed-form expressions for costs and utilities, and finiteness of the system’s state space. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book presents new efficient methods for optimization in realistic large-scale, multi-agent systems. These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained during communication with their local neighbors. The book, primarily aimed at researchers in optimization and control, considers three different information settings in multi-agent systems: oracle-based, communication-based, and payoff-based. For each of these information types, an efficient optimization algorithm is developed, which leads the system to an optimal state. The optimization problems are set without such restrictive assumptions as convexity of the objective functions, complicated communication topologies, closed-form expressions for costs and utilities, and finiteness of the system’s state space. 

More books from Springer International Publishing

Cover of the book Free Speech and False Speech by Tatiana Tatarenko
Cover of the book Modelling and Observation of Exhaust Gas Concentrations for Diesel Engine Control by Tatiana Tatarenko
Cover of the book Christian Zionism and English National Identity, 1600–1850 by Tatiana Tatarenko
Cover of the book Limits to Climate Change Adaptation by Tatiana Tatarenko
Cover of the book Brain and Mind by Tatiana Tatarenko
Cover of the book Hegemony and the Holocaust by Tatiana Tatarenko
Cover of the book Trust and Reputation Management Systems by Tatiana Tatarenko
Cover of the book Uncommodified Blackness by Tatiana Tatarenko
Cover of the book Drinking Water Minerals and Mineral Balance by Tatiana Tatarenko
Cover of the book New Trends in Parameter Identification for Mathematical Models by Tatiana Tatarenko
Cover of the book Brownian Motion and its Applications to Mathematical Analysis by Tatiana Tatarenko
Cover of the book Approximation and Online Algorithms by Tatiana Tatarenko
Cover of the book Recent Advances in Nonlinear Dynamics and Synchronization by Tatiana Tatarenko
Cover of the book Computational Methods in Systems Biology by Tatiana Tatarenko
Cover of the book Mobile Solutions and Their Usefulness in Everyday Life by Tatiana Tatarenko
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy