Graphical representations of causation have been usedfor at least seventy years, and the modern developmentof directed acyclic graphs to portray causal systemscontinues the trend. It is sometimes difficult tounderstand, however, what it is about these diagramsthat is `causal'. The approach to causal graphicsthat is taken here is to base the development ofgraphics on the concepts of an underlying causaltheory, the minimal sufficient cause model. Thisleads to defining a Boolean `and' for arrows thatrepresent causal pathways, and a Boolean `or' forcollections of pathways. Complementation is a morecomplex operation in the minimal sufficient causetheory than simply inverting the sense of a causalrelationship, and this also is represented in thegraphics. By using diagrams that are more faithful tounderlying causal systems, and using a coherent causaltheory, both the perception of causation and itsanalysis might be enhanced.
Quality & Quantity – Springer Journals
Published: Oct 3, 2004
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera