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Modeling Norms in Multi-agent Systems with NormML

机译:具有NORMML的多智能体系中的建模规范

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Norms in multi-agent systems are a mechanism used to restrict the behavior of agents by defining what agents are obligated, permitted or prohibited to do and by stating stimulus to their fulfillment by defining rewards and discouraging their violation by pointing out punishments. In this paper we propose a normative modeling language called NormML that makes possible the modeling of the main properties and characteristics of the norms. In addition, we also propose a mechanism to validate the norms at design time, i.e., to check if the norms respect the constraints defined by the language and also their possible conflicts.
机译:多种代理系统中的规范是通过定义所属的代理商来限制代理人的行为,通过定义奖励并通过指出惩罚来劝阻刺激措施来限制代理人的行为。在本文中,我们提出了一种称为NARMML的规范建模语言,可以实现主要性质和规范的特征。此外,我们还提出了一种机制来验证设计时间的规范,即检查规范是否尊重语言定义的约束以及它们可能的冲突。

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