Mean-Field-Type Game Theory II : Applications (Static & Dynamic Game Theory: Foundations & Applications)

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  • 予約

Mean-Field-Type Game Theory II : Applications (Static & Dynamic Game Theory: Foundations & Applications)

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  • 製本 Hardcover:ハードカバー版/ページ数 709 p.
  • 言語 ENG
  • 商品コード 9783032070302

Full Description

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.

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