Mean-field-type game theory II Applications Tamer Başar, Boualem Djehiche, Hamidou Tembine

Format:

Book

Author/Creator:

Başar, Tamer, author.

Djehiche, Boualem, author.

Tembine, Hamidou, author.

Series:

Static & dynamic game theory 2363-8524

Language:

English

Subjects (All):

Game theory.

Discrete mathematics.

Physical Description:

1 online resource

Other Title:

Applications

Place of Publication:

Cham Springer [2026]

System Details:

text file PDF

Summary:

Mean-Field-Type Game Theory II is the second of two volumes that together form a comprehensive treatment of mean-field-type game theory and applications focused on finding state-of-the-art solutions to issues surrounding the next generation of cloud social networking, smart energy systems, transportation and wireless networks. The text shows how mean-field-type game theory provides the ideal framework for designing robust, accurate and efficient algorithms for the autonomous and distributed architectures on which future cities and networks will rely to improve the efficiency and flexibility, security and quality of life. This second volume fleshes out and expands upon the theoretical treatment of Volume I with a presentation of real-world applications including smart cities, energy systems and their economics, high-efficiency Wi-Fi networks, social networks, next-generation networks, sensor networks and cognitive networks. Mean-Field-Type Game Theory II: Applications is an ideal resource for engineers, academic researchers, and advanced undergraduate and graduate students, surveying the varied ways in which mean-field games can be employed to enhance real systems of one sort or another

Contents:

Part 1. Engineering

Chapter 1. Evacuation of Multi-Level Buildings

Chapter 2. Signal Quality-based CSMA Networks

Chapter 3. Power savings, Mobility, and Data Queues

Chapter 4. User and Base Station Association in Next Generation Networks

Part 2. Computer Science

Chapter 5. Malware Propagation

Chapter 6. Rent-Seeking Games in Cloud Networking

Chapter 7. Auctions

Chapter 8. Network of Neural Networks

Part 3. Evolutionary Biology and Biochemistry

Chapter 9. BioChemical Reaction Networks

Chapter 10. COVID-19: Data-Driven Modeling

Part 4. Sociology, Psychology, Ecology and Environment

Chapter 11. Pollution Control and Fishing Strategies in Smarter Cities

Chapter 12. Mean-Field Games for Marriage

Part 5. Network Economics, Finance and Insurance

Chapter 13. Economics of Networks

Chapter 14. Electricity Price Dynamics in the Smart Grid

Chapter 15. Blockchain-based Distributed Power Networks

Chapter 16. Blockchain Token Economics

Chapter 17. Hub-based Airline Networks

Part 6. Wrap-up

Chapter 18. Conclusions and New Directions In this chapter, we present some summary and new directions

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (SpringerLink, viewed April 7, 2026)

ISBN:

9783032070319

3032070317

OCLC:

1583408279