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Updating Probabilistic Epistemic States in Persuasion Dialogues

机译:在说服对话中更新概率认知状态

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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 gam 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:在说服对话中,说服者对被说服者进行建模的能力使说服者可以更好地选择举动。对概率论证的认知方法是一种有说服力的方式,可以说服说服者对论证的信念,并且已经提出了更新方法的建议,这些更新方法指定了如何在对话的每个步骤中更新这些信念。但是,有必要更好地理解这些建议,并且有必要深入了解可能的更新功能。因此,在本文中,我们提出了一个更新功能的通用框架,其中考虑了现有的和新颖的更新功能

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