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Updating Probabilistic Epistemic States in Persuasion Dialogues

机译:在说服对话中更新概率认识状态

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In persuasion dialogues, the ability of the persuader to model the persuadee allows the persuader to make better choices of move. The epistemic approach to probabilistic argumentation is a promising way of modelling the persuadee's belief in arguments, and proposals have been made for update methods that specify how these beliefs can be updated at each step of the dialogue. However, there is a need to better understand these proposals, and moreover, to gain insights into the space of possible update functions. So in this paper, we present a general framework for update functions in which we consider existing and novel update functions.
机译:在劝说对话中,说服者模拟了说服力的能力允许说服者能够更好地选择移动。概率论证的认知方法是建模说服力对争论的信念的有希望的方式,并为更新方法制定了提案,具体说明这些信念如何在对话的每个步骤中更新。但是,需要更好地了解这些提案,而且,进来,进入有可能更新功能的空间的见解。因此,在本文中,我们为我们考虑现有和新颖的更新功能提供了更新功能的一般框架。

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