Mean-Field-Type Game Theory I: Foundations and New Directions
暫譯: 均場型博弈論 I：基礎與新方向

提供讀者一個獨立且全面的均場遊戲理論及工程應用的調查。

均場類型遊戲理論的入門背景、練習和概念讓學生在建模和分析上有更多的實踐機會。

為讀者提供隨機控制理論、隨機優化和團隊問題的堅實背景，為許多工業職業做好準備。

可從作者網站下載的詳細幻燈片節省了講師的時間，並使學生能更緊密地跟隨結果。

Tamer Başar has received B.S.E.E. from Robert College, Istanbul, and M.S., M.Phil, and Ph.D. degrees in engineering and applied science from Yale University. After stints at Harvard University, Marmara Research Institute (Gebze, Turkey), and Boğaziçi University (Istanbul), he joined the University of Illinois Urbana-Champaign in 1981, where he is currently Swanlund Endowed Chair Emeritus; CAS Professor Emeritus of ECE; and Research Professor, CSL and ITI. He is a member of the US National Academy of Engineering, a Fellow of the American Academy of Arts and Sciences, and Foreign Member of Academia Europaea. He is also Fellow of IEEE, IFAC, SIAM, AAAI, and AIIA. He has received several awards and recognitions over the years, and has current research interests in stochastic teams, games, and networks (with finite- and infinite-population models); multi-agent systems and learning; data-driven distributed optimization; epidemics modeling and control over networks; design of incentive mechanisms; strategic information transmission, spread of disinformation, and deception; security and trust; energy systems; and cyber-physical systems.

Boualem Djehiche received his Ph.D. in Mathematics from KTH Royal Institute of Technology, Stockholm, in 1993. Since 2001, he has been Professor of Mathematical Statistics at KTH, where his research spans stochastic analysis, large deviations, stochastic partial differential equations, stochastic control, optimization, and mean-field-type game theory. He has made significant contributions to applications of stochastic systems, control, and game theory in diverse domains, including insurance mathematics, mathematical finance, and mathematical epidemiology, as well as emerging areas such as multi-level multi-compartment building evacuations, pedestrian flow management, blockchain token economics, and generative artificial intelligence. His work bridges rigorous mathematical theory with pressing real-world challenges, advancing the design of reliable, efficient, and adaptive strategies for decision-making under uncertainty.

Hamidou Tembine is co-founder of Timadie and Professor of Machine Intelligence at the School of Engineering, University of Québec (Canada). He received a master's degree in Applied Mathematics from École Polytechnique, Palaiseau (France), a master's degree in game theory and economics, and a Ph.D. in computer science from INRIA and the University of Avignon. He is founding director of the Learning and Game Theory Laboratory and one of the principal investigators of the Center on Stability, Instability, and Turbulence. He has also co-founded Grabal, WETE, and AI Mali, and founded Guinaga, SK1 Sogoloton, and WETE. He is the author of more than 300 publications and several books, including Distributed Strategic Learning for Engineers (CRC Press), Game Theory and Learning in Wireless Networks (Elsevier), Mean-Field-Type Games for Engineers, Machine Intelligence in Africa in 20 Questions, and GPT Meets Game Theory. He is a senior member of IEEE, recipient of the IEEE ComSoc Outstanding Young Researcher Award, and winner of more than ten best paper awards, all in game theory. He has been recognized as a Next Einstein Fellow (2017) and Simons Senior Fellow (2020). His current research interests span learning, evolution, and games, with applications in agriculture, food, water, energy, communications, transportation, healthcare, textless audio-to-audio machine intelligence and people-centered cyber-physical systems security.

Tamer Başar 於伊斯坦堡的羅伯特學院獲得電機工程學士學位，並在耶魯大學獲得工程與應用科學的碩士、哲學碩士及博士學位。在哈佛大學、馬爾馬拉研究所（土耳其吉布茲）及博阿茲奇大學（伊斯坦堡）工作後，他於1981年加入伊利諾伊大學香檳分校，目前擔任Swanlund Endowed Chair Emeritus；電子與計算機工程系的CAS名譽教授；以及CSL和ITI的研究教授。他是美國國家工程院的成員、美國藝術與科學學院的院士，以及歐洲學院的外籍成員。他同時也是IEEE、IFAC、SIAM、AAAI和AIIA的院士。他在多年來獲得多項獎項和榮譽，目前的研究興趣包括隨機團隊、遊戲和網絡（有限和無限人口模型）；多智能體系統和學習；數據驅動的分佈式優化；流行病建模和網絡控制；激勵機制設計；戰略信息傳輸、虛假信息的擴散和欺騙；安全性和信任；能源系統；以及網絡物理系統。

Boualem Djehiche 於1993年在瑞典KTH皇家技術學院獲得數學博士學位。自2001年以來，他一直擔任KTH的數學統計學教授，他的研究涵蓋隨機分析、大偏差、隨機偏微分方程、隨機控制、優化和均場型遊戲理論。他在隨機系統、控制和遊戲理論的應用方面做出了重要貢獻，涉及保險數學、數學金融和數學流行病學等多個領域，以及新興領域如多層多區域建築疏散、行人流量管理、區塊鏈代幣經濟學和生成式人工智慧。他的工作將嚴謹的數學理論與迫切的現實挑戰相結合，推進了在不確定性下進行決策的可靠、高效和自適應策略的設計。

Hamidou Tembine 是Timadie的共同創辦人及加拿大魁北克大學工程學院的機器智能教授。他在法國帕萊索的高等工藝學院獲得應用數學碩士學位，並獲得遊戲理論和經濟學碩士學位，以及在INRIA和阿維尼翁大學獲得計算機科學博士學位。他是學習與遊戲理論實驗室的創始主任，也是穩定性、不穩定性和湍流中心的主要研究人員之一。他還共同創辦了Grabal、WETE和AI Mali，並創立了Guinaga、SK1 Sogoloton和WETE。他是300多篇出版物和幾本書籍的作者，包括《Distributed Strategic Learning for Engineers》（CRC Press）、《Game Theory and Learning in Wireless Networks》（Elsevier）、《Mean-Field-Type Games for Engineers》、《Machine Intelligence in Africa in 20 Questions》和《GPT Meets Game Theory》。他是IEEE的高級會員，獲得IEEE ComSoc傑出青年研究者獎，並在遊戲理論領域獲得十多項最佳論文獎。他被認定為下一位愛因斯坦獎學金得主（2017年）和西蒙斯高級獎學金得主（2020年）。他目前的研究興趣涵蓋學習、演化和遊戲，應用於農業、食品、水資源、能源、通信、交通、醫療保健、無文本音頻到音頻的機器智能以及以人為中心的網絡物理系統安全。