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Explaining the outcome of knowledge-based systems; a discussion-based approach.

Caminada, M., Podlaszewski, M.L. and Green, M., 2013. Explaining the outcome of knowledge-based systems; a discussion-based approach. In: Proceedings of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour 2013 . AISB , Do-Form: Enabling Domain Experts to use Formalised Reasoning, 3-5 April 2013, Exeter, England.

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Many inferences made in everyday life are only valid in the absence of explicit counter information. This has led to the development of nonmonotonic logics. The kind of reasoning performed by these logics can be difficult to explain to the average end-user of a knowledge based system that implements them. Although the system can still give advice, it is hard for the user to assess the rationale be- hind this advice. In this paper we propose an argumentation approach that enables the advice to be assessed through an interactive dialogue with the system much like the discussion one might have with a col- league. The aim of thie dialogue is for the system to convince the user that the advice is well-founded.

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Science & Technology
ID Code:28100
Deposited By: Symplectic RT2
Deposited On:21 Mar 2017 13:59
Last Modified:14 Mar 2022 14:03


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