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Synthesizing Coalitions for Multi-agent Games

机译:综合多人游戏联盟

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We present Temporal Cooperation Logic with Coalition Variables (TCLX), for the synthesis of coalitions of unknown sizes to achieve temporal objectives in multi-agent games. TCLX extends Temporal Cooperation Logic (TCL) by allowing existentially quantified variables for agent sets and operators for set relations. Even though TCLX is shown more expressive than TCL and incomparable with AMC, GL, and ATL* in expressiveness, the verification complexities of TCLX are still maintained as those of TCL, i.e., EXPTIME-complete for model-checking and 2-EXPTIME-complete for satisfiability checking. We then extend the on-the-fly model-checking algorithm of TCL for implementing a TCLX model-checker. Our implementation is experimented with three benchmark models in the context of network security, software development, and marketing promotion. The experiment results show the broad applicability and promises of TCLX in synthesizing coalitions for multi-agent systems.
机译:我们提出了带有联盟变量的时间合作逻辑(TCLX),用于合成未知大小的联盟以实现多人游戏中的时间目标。 TCLX通过允许代理集存在量化的变量和集合关系运算符的使用来扩展时间合作逻辑(TCL)。尽管显示出TCLX具有比TCL更高的表达能力,并且在表达能力上无法与AMC,GL和ATL *相提并论,但TCLX的验证复杂性仍然保持与TCL相同,即模型检查的EXPTIME完全和2-EXPTIME的完全用于满意度检查。然后,我们扩展了TCL的动态模型检查算法,以实现TCLX模型检查器。我们在网络安全性,软件开发和市场推广的背景下对三种基准模型进行了实验。实验结果表明,TCLX在合成多智能体系统联盟中具有广泛的应用前景。

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  • 会议地点 Turin(IT)
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    Wei Ji; Farn Wang; Peng Wu;

  • 作者单位

    State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China;

    Deptartment of Electrical Engineering National Taiwan University Taipei Taiwan;

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