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Updating probabilistic epistemic states in persuasion dialogues. (English) Zbl 06769585
Antonucci, Alessandro (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 14th European conference, ECSQARU 2017, Lugano, Switzerland, July 10–14, 2017. Proceedings. Cham: Springer (ISBN 978-3-319-61580-6/pbk; 978-3-319-61581-3/ebook). Lecture Notes in Computer Science 10369. Lecture Notes in Artificial Intelligence, 46-56 (2017).
Summary: 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.
For the entire collection see [Zbl 1367.68004].

MSC:
68T37 Reasoning under uncertainty in the context of artificial intelligence
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