Genetic Programming of Control Knowledge for Planning

Ricardo Aler, Daniel Borrajo, Pedro Isasi

It is well known that planning for complex domains and non-trivial problems is a difficult task for domain independent planners. Adding domain knowledge to the planner is a simple approach to improve its efficiency for a given domain. In this paper we present EvoCK, a system based on Genetic Programming, which produces control knowledge for a nonlinear domain independent planner (Prodigy4.0). EvoCK has been tested in two domains (the blocksworld and logistics), and very good experimental results have been obtained both in terms of the number of problems solved and of the quality of the control-rules produced.

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