The rapid progress in artificial intelligence (AI) and machine learning has opened
unprecedented analytics possibilities in various team and individual sports, including …

In theory, it can be strategically advantageous for competitors to make themselves
unpredictable to their opponents, for example, by variably mixing hostility and friendliness …

The aim of this study was to define a method for evaluating a player's decisions during a
game based on the success probability of his actions and for analyzing the player strategy …

We set up a game theoretic framework to analyze a wide range of situations from team
sports. A fundamental idea is the concept of potential; the probability of the offense scoring …

In many sports contests, the equilibrium requires players to randomize across repeated
rounds, ie, exhibit no temporal predictability. Such sports data present a window into the (in) …

When group-living Arabian babbler songbirds hear a sentinel alarm call that indicates a
raptor approach, they should instantaneously choose whether to flee to shelter, or rather to …

A mixed strategy, a strategy of unpredictable actions, is applicable to business, politics, and
sports. Playing mixed strategies, however, poses a challenge, as the game theory involves …

The method of data quality management in mining fuzzy relations from time series of sports
data is proposed. The fuzzy relation-based model of time series with granular event …

In mixed strategy games, the ability to randomize decisions is a critical strategic necessity,
yet studies show that such rational behavior is sometimes elusive. This paper examines …

When are unaffected third parties willing to punish or reward people for their behavior
toward others? We try to answer this question with an experiment. More specifically, we let …