RT info:eu-repo/semantics/article
T1 Optimal control of fractional punishment in optional public goods game
A1 Grau Figueredo, Josias
A1 Botta Solano López, Magdalena del Rocío
A1 Schaerer Serra, Christian Emilio
A2 Universidad Nacional de Asunción. Facultad Politécnica
AB Punishment is probably the most frequently used mechanism to increase cooperation in Public Goods Games (PGG); however, it is expensive. To address this problem, this paper introduces an optimal control problem that uses fractional punishment to promote cooperation. We present a series of computational experiments illustrating the effects of single and combined terms of the optimization cost function. In the findings, the optimal controller outperforms the use of constant fractional punishment and gives an insight into the period and size of the penalization to be implemented with respect to the defection in the game.
PB Sociedade Brasileira de Matemática Aplicada e Computacional
YR 2024
FD 2024-11-28
LK http://hdl.handle.net/20.500.14066/4611
UL http://hdl.handle.net/20.500.14066/4611
LA eng
NO Grau, J., Botta, R., & Schaerer, C. E. (2024). Optimal control of fractional punishment in optional public goods game. Trends in Computational and Applied Mathematics, 25(1), Article e01737. https://doi.org/10.5540/tcam.2024.025.e01737
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 04-sep-2026