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Truthfulness in Contextual Information Correction

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Belief Functions: Theory and Applications (BELIEF 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8764))

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Abstract

Recently, a dual reinforcement process to contextual discounting was introduced. However, it lacked a clear interpretation. In this paper, we propose a new perspective on contextual discounting: it can be seen as successive corrections corresponding to simple contextual lies. Most interestingly, a similar interpretation is provided for the reinforcement process. Two new contextual correction mechanisms, which are similar yet complementary to the two existing ones, are also introduced.

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Pichon, F., Mercier, D., Delmotte, F., Lefèvre, É. (2014). Truthfulness in Contextual Information Correction. In: Cuzzolin, F. (eds) Belief Functions: Theory and Applications. BELIEF 2014. Lecture Notes in Computer Science(), vol 8764. Springer, Cham. https://doi.org/10.1007/978-3-319-11191-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-11191-9_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11190-2

  • Online ISBN: 978-3-319-11191-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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