In this paper, we present a systematic overview of diffierent endogenous optimization-based characteristic functions and discuss their properties. Furthermore, we define and analyze in detail a new, n-characteristic function. This characteristic function has a substantial advantage over other characteristic functions in that it can be obtained with a minimal computational effiort and has a reasonable economic interpretation. In particular, the new characteristic function can be seen as a reduced version of the classical Neumann-Morgenstern characteristic function, where the players both from the coalition and from the complementary coalition use their previously computed strategies instead of solving respective optimization problems. Our finding are illustrated by a pollution control game with n non-identical players. For the considered game, we compute all characteristic functions and compare their properties. Quite surprisingly, it turns out that both the characteristic functions and the resulting cooperative solutions satisfy some symmetry relations.
Предметные области Scopus
- Теория вероятности и статистика
- Моделирование и симуляция
- Прикладная математика