AI for Sports
暫譯: 運動中的人工智慧

人工智慧（AI）似乎總是距離實現只有五年的時間，但它卻從未到來。然而，最近的發展使得博弈論的實用性成為了一個真正的現實。體育是否會成為人工智慧證明自身的培養皿？管理者和教練等領域專家想知道什麼是他們目前無法獲得的資訊，而人工智慧能否提供答案？在未來，人工智慧可能為招聘、表現和戰術、健康與健身、教學法、廣播、電子競技、賭博和體育場設計等方面提供哪些競爭優勢？由體育管理和人工智慧領域的領先專家撰寫的《AI for Sports》開始回答這些以及許多其他關於人工智慧在體育未來的問題。

Professor Chris Brady is currently the Chief Intelligence Officer at Sportsology, a US-based consultancy to elite sports organizations across the globe. Professor Brady has had a varied working life ranging from a line-worker at Chrysler in Detroit in his teens to managing a bookmaker's shop, from a land surveyor to a semi-professional footballer, from a naval officer to a management consultant. Prior to joining Sportsology he was most recently Professor of Management Studies at Salford University where he founded the Centre for Sports Business which focussed on the production of high quality research with a particular emphasis on statistical analytics and future trend analysis within the global sports industry.

Karl Tuyls (FBCS) is a team lead at DeepMind (Paris, France), an honorary professor of Computer Science at the University of Liverpool, UK, and a Guest Professor at the University of Leuven, Belgium. Previously, he held academic positions at the Vrije Universiteit Brussel, Hasselt University, Eindhoven University of Technology, and Maastricht University. Prof. Tuyls has received several awards with his research, amongst which: the Information Technology prize 2000 in Belgium, best demo award at AAMAS'12, winner of various Robocup@Work competitions ('13, '14), and he was a co-author of the runner-up best paper award at ICML'18. Furthermore, his research has received substantial attention from national and international press and media, most recently his work on Sports Analytics featured in Wired UK. He is a fellow of the British Computer Society (BCS), is on the editorial board of the Journal of Autonomous Agents and Multi-Agent Systems, and is editor-in-chief of the Springer briefs series on Intelligent Systems. Prof. Tuyls is also an emeritus member of the board of directors of the International Foundation for Autonomous Agents and Multiagent Systems.

Shayegan Omidshafiei is a senior research scientist in DeepMind's Game Theory team, where he also co-leads DeepMind's Sports Analytics effort. His research interests include multiagent systems, reinforcement learning, robotics, and control systems. He previously received his Ph.D. at the Laboratory for Information and Decision Systems (LIDS) and Aerospace Controls Laboratory (ACL) at MIT. He received a B.A.Sc. degree from the University of Toronto in 2012, and an S.M. degree in Aeronautics and Astronautics from MIT in 2015. He is co-inventor of 5 patents filed with the United States Patent Office.

克里斯·布雷迪教授目前是位於美國的運動學諮詢公司 Sportsology 的首席情報官，該公司為全球精英運動組織提供服務。布雷迪教授的工作經歷多樣，從青少年時期在底特律的克萊斯勒擔任生產線工人，到管理一家博彩公司，從土地測量師到半職業足球運動員，從海軍軍官到管理顧問。在加入 Sportsology 之前，他最近擔任薩爾福德大學的管理學教授，並創立了專注於高品質研究的運動商業中心，特別強調全球運動產業中的統計分析和未來趨勢分析。

卡爾·圖伊爾斯（FBCS）是 DeepMind（法國巴黎）的團隊負責人，英國利物浦大學的計算機科學名譽教授，以及比利時魯汀大學的客座教授。此前，他曾在布魯塞爾自由大學、哈瑟爾特大學、埃因霍溫科技大學和馬斯特里赫特大學擔任學術職位。圖伊爾斯教授的研究獲得了多項獎項，包括：2000年比利時資訊科技獎、AAMAS'12最佳演示獎、Robocup@Work比賽的多次獲勝者（'13、'14），以及他是 ICML'18 亞軍最佳論文獎的共同作者。此外，他的研究受到國內外媒體的廣泛關注，最近他的運動分析工作在 Wired UK 中報導。他是英國計算機學會（BCS）的會員，擔任《自主代理與多代理系統期刊》的編輯委員會成員，並是施普林格智能系統簡報系列的主編。圖伊爾斯教授還是國際自主代理與多代理系統基金會的名譽董事會成員。

沙耶甘·奧米德沙菲伊是 DeepMind 遊戲理論團隊的高級研究科學家，並共同領導 DeepMind 的運動分析工作。他的研究興趣包括多代理系統、強化學習、機器人技術和控制系統。他曾在麻省理工學院的信息與決策系統實驗室（LIDS）和航空控制實驗室（ACL）獲得博士學位。他於2012年在多倫多大學獲得工學學士學位，並於2015年在麻省理工學院獲得航空與宇宙科學碩士學位。他是5項已向美國專利局申請的專利的共同發明人。