AAAI Publications, Twenty-Second International FLAIRS Conference

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Enhancing Constraint Models for Planning Problems
Roman Bartak, Daniel Toropila

Last modified: 2009-03-17

Abstract


Planning problems deal with finding a sequence of actions that transfer the initial state of the world into a desired state. Frequently such problems are solved by dedicated algorithms but there exist planners based on translating the planning problem into a different formalism such as constraint satisfaction or Boolean satisfiability and using a general solver for this formalism. The paper describes how to enhance existing constraint models of planning problems by using techniques such as symmetry breaking (dominance rules), singleton consistency, and lifting.

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