AIJun 13, 2012
Identifying Dynamic Sequential Plans
arXiv:1206.3292v149 citations
Originality Synthesis-oriented
AI Analysis
This provides a theoretical connection for researchers in causal inference, but appears incremental as it leverages existing methods.
The paper tackles the problem of identifying dynamic sequential plans in causal Bayesian networks, showing that it can be reduced to identifying causal effects, for which complete algorithms already exist.
We address the problem of identifying dynamic sequential plans in the framework of causal Bayesian networks, and show that the problem is reduced to identifying causal effects, for which there are complete identi cation algorithms available in the literature.