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Conference Paper - 2007
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Duc Nghia Pham, John Thornton, Charles Gretton, Abdul Sattar
In this paper we describe a stochastic local search (SLS) procedure for finding satisfying models of satisfiable propositional formulae. This new algorithm, gNovelty$^+$, draws on the features of two other WalkSAT family algorithms: R+AdaptNovelty$^+$ and...
Australian Joint Conference on Artificial Intelligence - December 2007
Malte Helmert, Patrik Haslum, Jörg Hoffmann
We describe an approach to deriving consistent heuristics for automated planning, based on explicit search in abstract state spaces. The key to managing complexity is interleaving composition of abstractions over different sets of state variables with ...
17th International Conference on Automated Planning and Scheduling - September 2007
Patrik Haslum, Malte Helmert, Blai Bonet, Adi Botea, Sven Koenig
Heuristic search is a leading approach to domain-independent planning. For cost-optimal planning, however, existing admissible heuristics are generally too weak to effectively guide the search. Pattern database heuristics (PDBs), which are based on ...
AAAI'07 - July 2007
Blai Bonet, Patrik Haslum, Sarah Hickmott, Sylvie Thiebaux
The key to efficient on-the-fly reachability analysis based on unfolding is to focus the expansion of the finite prefix towards the desired marking. However, current unfolding strategies typically equate to blind (breadth-first) search. They do not ...
Workshop on Unfolding and Patrtial-Order Techniques (UFO-07) - June 2007
Duc Nghia Pham, John Thornton, Abdul Sattar
The 20th International Joint Conference on Artificial Intelligence - January 2007