Info Intervention

We highlight the information processing aspect of causal models by proposing the info intervention, which intervening the information on the output edges of a node. We point out issues of the existing definition of $do$ intervention(also known as "surgical" or "atomatic" or "perfect" intervention) and other notations for causation. We show that \emph{info intervention} are competitive in formalizing causal queries, identification of cause-effect, and it can solve (or alleviate) some issues in the existing causal modeling frameworks.