Abstract
In human interactions, trust is regularly updated during a discussion. For example, if someone is caught lying, any further utterances they make will be discounted, until trust is regained. This paper seeks to model such behaviour by introducing a dialogue game which operates over several iterations, with trust updates occurring at the end of each iteration. In turn, trust changes are computed based on intuitive properties, captured through three rules. By representing agent knowledge within a preference-based argumentation framework, we demonstrate how trust can change over the course of a dialogue.
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Notes
- 1.
Here, \(\mathcal {E}\) represents the extension(s) obtained on the argumentation framework \(\langle \mathcal {UCS}, \mathcal {R} \rangle \).
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Ogunniye, G., Toniolo, A., Oren, N. (2018). A Dynamic Model of Trust in Dialogues. In: Black, E., Modgil, S., Oren, N. (eds) Theory and Applications of Formal Argumentation. TAFA 2017. Lecture Notes in Computer Science(), vol 10757. Springer, Cham. https://doi.org/10.1007/978-3-319-75553-3_15
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DOI: https://doi.org/10.1007/978-3-319-75553-3_15
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