Computational Complexity of Planning Based on Partial Information about the System's Present and Past States
نویسندگان
چکیده
Planning is a very important AI problem and it is also a very time consuming AI problem To get an idea of how complex dif ferent planning problems are it is useful to describe the computational complexity of di erent general planning problems This complexity has been described for problems in which planning is based on the complete or partial information about the current state of the system In real life planning in addition to this information we often also use the knowledge about the system s past behavior To describe such more realistic plan ning situations a special language L was developed in by C Baral M Gelfond and A Provetti In this paper we expand the known results about computational complexity of planning including our own previ ous results about complexity of planning in the planning language A to this more general class of planning problems
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