Managing Trust and Uncertainty for Distributed AI Systems

Abstract : The sharing of data and resources in Future Internet applications such as the Internet of Things (IoT) introduces a big challenge of maintaining good quality of information (QoI). Two big factors influencing QoI are (i) Trust on the information source and (ii) Uncertainty in the provided information. For a future Internet type of application , these terms are "Distributed trust" and "Distributed uncertainty". This paper discusses the problems of model-ing trust and uncertainty together in a distributed AI environment , provides a survey of the existing state of the art in the domain and puts forward Distributed Π-ATMS as a possible solution.
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https://hal.archives-ouvertes.fr/hal-02189739
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Submitted on : Friday, July 19, 2019 - 10:26:45 PM
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Mondi Ravi, Yves Demazeau, Fano Ramparany. Managing Trust and Uncertainty for Distributed AI Systems. 12èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle, RJCIA’2014, Jun 2014, Rouen, France. ⟨hal-02189739⟩

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