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CP
2005
Springer
13 years 10 months ago
Solving Simple Planning Problems with More Inference and No Search
Many problems used in AI planning including Blocks, Logistics, Gripper, Satellite, and others lack the interactions that characterize puzzles and can be solved nonoptimally in low...
Vincent Vidal, Hector Geffner
AIPS
2009
13 years 5 months ago
Inference and Decomposition in Planning Using Causal Consistent Chains
Current state-of-the-art planners solve problems, easy and hard alike, by search, expanding hundreds or thousands of nodes. Yet, given the ability of people to solve easy problems...
Nir Lipovetzky, Hector Geffner
AAAI
2006
13 years 6 months ago
Compiling Uncertainty Away: Solving Conformant Planning Problems using a Classical Planner (Sometimes)
Even under polynomial restrictions on plan length, conformant planning remains a very hard computational problem as plan verification itself can take exponential time. This heavy ...
Héctor Palacios, Hector Geffner
ECAI
2000
Springer
13 years 9 months ago
Extensions of Constraint Solving for Proof Planning
The integration of constraint solvers into proof planning has pushed the problem solving horizon. Proof planning benefits from the general functionalities of a constraint solver s...
Erica Melis, Jürgen Zimmer, Tobias Mülle...
AIPS
2009
13 years 5 months ago
Extending the Use of Inference in Temporal Planning as Forwards Search
PDDL2.1 supports modelling of complex temporal planning domains in which solutions must exploit concurrency. Few existing temporal planners can solve problems that require concurr...
Amanda Jane Coles, Andrew Coles, Maria Fox, Derek ...