Titlebook: Dynamic Flexible Constraint Satisfaction and its Application to AI Planning; Ian Miguel Book 2004 Springer Verlag London Limited 2004 Cons

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Book 2004. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1. 1 Solving Classical CSPs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1. 2 Applicat ions of Classical CSP . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1. 3 Limitations of Classical CSP . . . .

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SPs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1. 2 Applicat ions of Classical CSP . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1. 3 Limitations of Classical CSP . . . . 978-1-4471-1048-4978-0-85729-378-7

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Dynamic CSP in Domain-independent AI Planning,ter development being discussed in Chapters 7 and 8. Recent advances in AI planning have established that the reduction of planning to a constraint satisfaction problem enables a gain in efficiency via the use of the dedicated search algorithms available in this field [82]. This chapter continues in

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GP-,DCSP: Experimental Results,udy is not to show that GP-.DCSP is a vast improvement over the current state of the art, although in some of the tests excellent results are obtained, but to establish this planner as a solid platform upon which to build a fully flexible planner in the subsequent chapters.