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Towards Getting Domain Knowledge: Plans Analysis through Investigation of Actions Dependencies

There are a lot of approaches for solving planning problems. 
Many of these approaches are based on ‘brute 
force‘ search methods and do not care about structures 
of plans previously computed in certain planning 
domains. By analyzing these structures we can obtain 
useful knowledge that can help in finding solutions 
for more complex planning problems. Methods 
described in this paper are based on analysis of action 
dependencies appearing in plans. This analysis provides 
new knowledge about the planning domain that can be 
passed directly to planning algorithms to improve their 
efficiency