Game-theoretic learning and distributed optimization in memoryless multi-agent systems. (2017)

• Record Type: Book
• Further Information: Note: Tatiana Tatarenko.
• Contents: Introduction and Research Motivation.- Backgrounds and Formulation of Contributions.- Logit Dynamics in Potential Games with Memoryless Players.- Stochastic Methods in Distributed Optimization and Game-Theoretic Learning.- Conclusion.- Appendix.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Copyright Date: 2017
• Extent: 1 online resource (pages)
• Subjects: 519; Mathematics; Computer science -- Mathematics; System theory; Mathematical optimization; Probabilities; Statistics; Game theory; Electronic books
• Languages: English
• ISBNs: 9783319654782; 3319654780; 9783319654799; 3319654799
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.