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On the Measurement of Negotiation Dialogue Games

机译:谈判对话游戏的测度

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Nowadays, multiagent systems became a widely used technology in everyday life. More studies are needed to evaluate these systems from different aspects such as evaluating agent dialogues, the participants to these dialogues, and the protocols governing the dialogues, etc. In this paper, we define new measures for dialogue games from an external agent's point of view. In particular, two measurement sets are proposed: in the first set, we use Shannon entropy to measure the certainty index of the dialogue. This involves ⅰ) using Shannon entropy to measure the agent's certainty about each move during the dialogue; and ⅱ) using Shannon entropy to measure the certainty of the agents about the whole dialogue with two different ways. The first way is by taking the average of the certainty index of all moves, and the second way is by determining all possible dialogues and applying the general formula of Shannon entropy. In the second set, we introduce two metrics: ⅰ) measuring the goodness of the agents in the real dialogue (i.e. the dialogue that effectively happened between the participants); and ⅱ) measuring the farness of the agents from the right dialogue (i.e. the best dialogue that can be produced by two agents if they know the knowledge bases of each other). Many dialogue game types have been proposed in multiagent systems. In this paper, we focus on one specific type, namely quantitative negotiation such as bargaining.
机译:如今,多代理系统已成为日常生活中广泛使用的技术。需要从不同方面进行更多研究以评估这些系统,例如评估代理对话,这些对话的参与者以及管理对话的协议等。在本文中,我们从外部代理的角度定义对话游戏的新措施。 。特别是,提出了两个度量集:在第一组中,我们使用Shannon熵来度量对话的确定性指标。这涉及ⅰ)使用香农熵来衡量特工对对话中每一步动作的确定性; ⅱ)使用Shannon熵通过两种不同的方式来衡量主体对整个对话的确定性。第一种方法是取所有动作的确定性指数的平均值,第二种方法是确定所有可能的对话并应用香农熵的一般公式。在第二组中,我们引入两个度量标准:ⅰ)在实际对话(即参与者之间有效进行的对话)中测量代理的优劣; ⅱ)从正确的对话(即,如果两个代理知道彼此的知识库,则可以由两个代理进行的最佳对话)来衡量代理的距离。在多代理系统中已经提出了许多对话游戏类型。在本文中,我们专注于一种特定类型,即诸如议价之类的定量谈判。

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