Explaining the outcome of knowledge-based systems: A discussion-based approach

Martinus Wigbertus Antonius Caminada, Mikolaj Podlaszewski, Matthew James Green

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

1 Citation (Scopus)


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 behind 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 colleague. The aim of thie dialogue is for the system to convince the user that the advice is well-founded.
Original languageEnglish
Title of host publicationProceedings of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour 2013
Number of pages4
Publication statusPublished - 2013
EventDo-Form: Enabling Domain Experts to use Formalised Reasoning - Exeter, United Kingdom
Duration: 3 Apr 20135 Apr 2013


ConferenceDo-Form: Enabling Domain Experts to use Formalised Reasoning
Country/TerritoryUnited Kingdom

Bibliographical note

This work has been supported by the National Research Fund, Luxembourg (LAAMIcomp project) and by the Engineering and Physical Sciences Research Council (EPSRC, UK), grant ref. EP/J012084/1 (SAsSy project).


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