AI for Sports (ePub)
It seems that artificial intelligence (AI) is always just five years away, but it never arrives. Recently, however, developments have made the practical utility of game theory a genuine reality. Will sport provide the petri dish in which AI will prove...
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It seems that artificial intelligence (AI) is always just five years away, but it never arrives. Recently, however, developments have made the practical utility of game theory a genuine reality. Will sport provide the petri dish in which AI will prove itself? What do domain specialists like managers and coaches want to know that they can't currently find out, and can AI provide the answer? What competitive advantages might AI provide for recruitment, performance and tactics, health and fitness, pedagogy, broadcasting, eSports, gambling and stadium design in the future? Written by leading experts in both sports management and AI, AI for Sports begins to answer these and many other questions on the future of AI for sports.
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
- Autoren: Chris Brady , Karl Tuyls , Shayegan Omidshafiei
- 2021, 1. Auflage, 162 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000533220
- ISBN-13: 9781000533224
- Erscheinungsdatum: 27.12.2021
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- Dateiformat: ePub
- Grösse: 1.26 MB
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