We set up a game theoretical model to analyze the optimal attacking intensity of sports teams during a game. We suppose that two teams can dynamically choose among more or less offensive actions and that the scoring probability of each team depends on both teams’ actions. We assume a zero sum setting and characterize a Nash equilibrium in terms of the unique solution of an Isaacs equation. We present results from numerical experiments showing that a change in the score has a strong impact on strategies, but not necessarily on scoring intensities. We give examples where strategies strongly depend on the score, the scoring intensities not at all.
Accepté le :
DOI : 10.1051/cocv/2018015
Keywords: Nash equilibrium, Isaacs equation, Zero-sum games
Ankirchner, Stefan 1 ; Blanchet-Scalliet, Christophette 1 ; Kümmel, Kai 1
@article{COCV_2019__25__A25_0,
author = {Ankirchner, Stefan and Blanchet-Scalliet, Christophette and K\"ummel, Kai},
title = {Last minute panic in zero sum games},
journal = {ESAIM: Control, Optimisation and Calculus of Variations},
year = {2019},
publisher = {EDP Sciences},
volume = {25},
doi = {10.1051/cocv/2018015},
zbl = {1437.91012},
mrnumber = {3986361},
language = {en},
url = {https://www.numdam.org/articles/10.1051/cocv/2018015/}
}
TY - JOUR AU - Ankirchner, Stefan AU - Blanchet-Scalliet, Christophette AU - Kümmel, Kai TI - Last minute panic in zero sum games JO - ESAIM: Control, Optimisation and Calculus of Variations PY - 2019 VL - 25 PB - EDP Sciences UR - https://www.numdam.org/articles/10.1051/cocv/2018015/ DO - 10.1051/cocv/2018015 LA - en ID - COCV_2019__25__A25_0 ER -
%0 Journal Article %A Ankirchner, Stefan %A Blanchet-Scalliet, Christophette %A Kümmel, Kai %T Last minute panic in zero sum games %J ESAIM: Control, Optimisation and Calculus of Variations %D 2019 %V 25 %I EDP Sciences %U https://www.numdam.org/articles/10.1051/cocv/2018015/ %R 10.1051/cocv/2018015 %G en %F COCV_2019__25__A25_0
Ankirchner, Stefan; Blanchet-Scalliet, Christophette; Kümmel, Kai. Last minute panic in zero sum games. ESAIM: Control, Optimisation and Calculus of Variations, Tome 25 (2019), article no. 25. doi: 10.1051/cocv/2018015
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