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Computing Stackelberg Equilibrium for Cancer Treatment

Author

Listed:
  • Sam Ganzfried

    (Ganzfried Research, Miami Beach, FL 33139, USA)

Abstract

Recent work by Kleshnina et al. has presented a Stackelberg evolutionary game model in which the Stackelberg equilibrium strategy for the leading player corresponds to the optimal cancer treatment. We present an approach that is able to quickly and accurately solve the model presented in that work.

Suggested Citation

  • Sam Ganzfried, 2024. "Computing Stackelberg Equilibrium for Cancer Treatment," Games, MDPI, vol. 15(6), pages 1-7, December.
    • Handle: RePEc:gam:jgames:v:15:y:2024:i:6:p:45-:d:1550124
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    References listed on IDEAS

    as
    1. Maria Kleshnina & Sabrina Streipert & Joel S. Brown & Kateřina Staňková, 2023. "Game Theory for Managing Evolving Systems: Challenges and Opportunities of Including Vector-Valued Strategies and Life-History Traits," Dynamic Games and Applications, Springer, vol. 13(4), pages 1130-1155, December.
    2. Maria Kleshnina & Sabrina Streipert & Joel Brown & Katerina Stankova, 2023. "Game Theory for Managing Evolving Systems: Challenges and Opportunities of Including Vector-Valued Strategies and Life-History Traits," Post-Print hal-04355341, HAL.
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