Visual explanations of probabilistic reasoning

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.

• Type: Conference
• Year: 2009
• Where: VL
• Authors: Martin Erwig, Eric Walkingshaw
• Keywords: Domain-specific Visual Language, Equivalent Explanation Instances, Explanation-oriented Language Design, Languages, VL 2009