Visual explanations of probabilistic reasoning

Authors:
Martin Erwig;Eric Walkingshaw
Affiliations:
-;-
Venue:
VLHCC '09 Proceedings of the 2009 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
Year:
2009

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A visual language for explaining probabilistic reasoning

Journal of Visual Languages and Computing

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Abstract

Continuing our research in explanation-oriented language design, we present a domain-specific visual language for explaining probabilistic reasoning. Programs in this language, called explanation objects, can be manipulated according to a set of laws to automatically generate many equivalent explanation instances. We argue that this increases the explanatory power of our language by allowing a user to view a problem from many different perspectives.