Transforming and Encoding FTS for SAT Solving: What Helps, What Hurts (Extended Version)
Advancing automated planning through optimized propositional logic encodings of factored transition systems.
Factored tasks are a classical planning representation that extends SAS+ with limited forms of disjunctive preconditions, conditional effects, and angelic nondeterminism. This allows for a more compact representation of tasks than traditional formalisms such as STRIPS or SAS+, an...
ArXiv CS.AI
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Bridging factored transition systems with SAT solvers enables more efficient automated planning by leveraging propositional logic for complex task structures. This research provides a crucial roadmap for optimizing encoding strategies, ultimately allowing AI systems to handle larger and more compact state spaces.
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