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Cooperation in Dynamic Multicriteria Games ?

机译:动态多轨道游戏中的合作

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The new approaches to construct equilibria in dynamic multicriteria games with finite planning horizon are presented. We consider a dynamic, discrete-time game model where the players use a common resource and have different criteria to optimize. The multicriteria Nash equilibrium is obtained via the Nash bargaining design (Nash products), and the cooperative equilibrium is determined by the Nash bargaining procedure for the entire planning horizon. Furthermore, the suggested approach is applied to determine cooperative strategies and payoffs for any coalition to be formed. Dynamic multicriteria bioresource management problem with finite harvesting times is considered. The players’ strategies and the size of the resource are compared under cooperative and noncooperative behavior.
机译:提出了具有有限规划地平线的动态多轨道游戏中建设均衡的新方法。我们考虑一个动态,离散时间的游戏模型,其中玩家使用共同资源并具有不同的标准来优化。通过纳什议中设计(NASH产品)获得多轨纳什平衡,并且协同平衡由整个规划地平线的NASH讨价还价过程决定。此外,建议的方法适用于确定要形成任何联盟的合作策略和收益。审议了有限收获时间的动态多轨道生物管源管理问题。在合作和非支持行为下比较球员的策略和资源规模。

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