Title :
Visual explanations of probabilistic reasoning
Author :
Erwig, Martin ; Walkingshaw, Eric
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.
Keywords :
inference mechanisms; visual languages; domain-specific visual language; explanation objects; explanation-oriented language design; probabilistic reasoning; Availability; Buildings; Costs; DSL; Game theory; Navigation; Probability distribution; Tail; Web pages;
Conference_Titel :
Visual Languages and Human-Centric Computing, 2009. VL/HCC 2009. IEEE Symposium on
Conference_Location :
Corvallis, OR
Print_ISBN :
978-1-4244-4876-0
DOI :
10.1109/VLHCC.2009.5295309
