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Game Plan: What AI can do for Football, and What Football can do for AI
10 references·0 citing·37 second hop
Game Plan: What AI can do for Football, and What Football can do for AI (2021)Game Plan: What AI can do for Football, a…Artificial intelligence for team sports: a survey (2019)Artificial intelligence for t…Actions Speak Louder than Goals (2019)Actions Speak Louder than Goa…Methods for empirical game-theoretic analysis (2006)Methods for empirical game-th…Neuroeconomics: How Neuroscience Can Inform Economics (2005)Neuroeconomics: How Neuroscie…Moneyball: the art of winning an unfair game (2004)Moneyball: the art of winning…Advances in Behavioral Economics (2004)Advances in Behavioral Econom…Professionals Play Minimax (2003)Professionals Play MinimaxBehavioral Game Theory: Experiments in Strategic Interaction (2003)Behavioral Game Theory: Exper…Testing Mixed-Strategy Equilibria When Players Are Heterogeneous: The Case of Penalty Kicks in Soccer (2002)Testing Mixed-Strategy Equili…Minimax Play at Wimbledon (2001)Minimax Play at WimbledonPutting Auction Theory to Work: The Simultaneous Ascending Auction (2000)Multi-agent influence diagrams for representing and solving games (2003)Graphical Models for Game Theory (2013)Learning equilibria of games via payoff queries (2013)ABIDES (2020)Real World Games Look Like Spinning Tops (2020)Zur Theorie der Gesellschaftsspiele (1928)A Course in Game Theory (1994)Favoritism Under Social Pressure (2005)Do professionals choke under pressure? (2006)Games with randomly disturbed payoffs: A new rationale for mixed-strategy equilibrium points (1973)Entry in Monopoly Markets (1990)Do Firms Maximize? Evidence from Professional Football (2006)Civil War and Social Cohesion: Lab‐in‐the‐Field Evidence from Nepal (2013)American Economic Review (2019)Generation of random sequences by human subjects: A critical survey of literature. (1972)Nonmetric test of the minimax theory of two-person zerosum games. (1987)Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria (1998)Feeling and thinking: Preferences need no inferences. (1980)Risk as feelings. (2001)Time Discounting and Time Preference: A Critical Review (2002)Social Cognitive Neuroscience: A Review of Core Processes (2006)Numerical Techniques for Stochastic Optimization (1988)An Introduction to Copulas (1999)The Economics of Football (2001)Digital technologies in sports: Opportunities, challenges, and strategies for safeguarding athlete wellbeing and competitive integrity in the digital era (2024)Resource Management In Dyadic Competitive Rivalry: The Effects of Resource Bundling and Deployment (2008)Second International Handbook of Educational Change (2009)The Rise of Evidence-Based Policing: Targeting, Testing, and Tracking (2013)“Economic man” in cross-cultural perspective: Behavioral experiments in 15 small-scale societies (2005)Does Culture Affect Economic Outcomes? (2006)Dictator games: a meta study (2011)Maps of Bounded Rationality: Psychology for Behavioral Economics (2003)The Grammar of Society (2005)Behavioral Ethics in Organizations: A Review (2006)Deep soccer analytics: learning an action-value function for evaluating soccer players (2020)Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned (2024)
this work references cited by second hop

References

  • 2003Behavioral Game Theory: Experiments in Strategic Interaction3,717 cited
  • 2005Neuroeconomics: How Neuroscience Can Inform Economics2,163 cited
  • 2004Advances in Behavioral Economics1,733 cited
  • 2004Moneyball: the art of winning an unfair game783 cited
  • 2002Testing Mixed-Strategy Equilibria When Players Are Heterogeneous: The Case of Penalty Kicks in Soccer415 cited
  • 2001Minimax Play at Wimbledon383 cited
  • 2003Professionals Play Minimax329 cited
  • 2019Actions Speak Louder than Goals248 cited
  • 2019Artificial intelligence for team sports: a survey131 cited
  • 2006Methods for empirical game-theoretic analysis119 cited

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