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ARXIV:2605.30563 · AI PLANNING · SUBMITTED 01 JUN · 20:35 UTC · FRESHNESS STALE
ARXIV:2605.30563AI PLANNINGSUBMITTED 01 JUN · 20:35 UTCFRESHNESS STALEJoão Filipe · Álvaro Torralba · Gregor Behnke · arXiv
Investigating the encoding of factored tasks into SAT for planning, analyzing different translation strategies and task transformations.
Opportunity summary
Pain Investigating the encoding of factored tasks into SAT for planning, analyzing different translation strategies and task transformations.
Evidence 0 refs | 3 sources | 50% coverage
Blocker Evidence unverified
Investigating the encoding of factored tasks into SAT for planning, analyzing different translation strategies and task transformations. This allows for a more compact representation of tasks than traditional formalisms such as STRIPS or SAS+,…
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…
ScienceToStartup currently rates this 0.0/10 on the public viability pass. This allows for a more compact representation of tasks than traditional formalisms such as STRIPS or SAS+, and supports a wide range of task…
AI Planning moved forward this cycle; last verified June 2026. Public score 0.0/10.
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Investigating the encoding of factored tasks into SAT for planning, analyzing different translation strategies and task transformations.
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10.48550/arXiv.2605.30563Investigating the encoding of factored tasks into SAT for planning, analyzing different translation strategies and task transformations.
Abstract
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+, and supports a wide range of task transformations. However, existing planning approaches for factored tasks have been limited to heuristic search methods. In this work, we investigate how to encode factored tasks in SAT. We propose several ways to encode the tasks, focusing on different strategies for translating the factored transition relation into propositional logic. We also analyze how to exploit parallelism at various levels in this setting and study the impact of common task transformations on the performance of SAT-based planners.
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PROBLEM
Investigating the encoding of factored tasks into SAT for planning, analyzing different translation strategies and task transformations. This allows for a more compact representation of tasks than traditional formalisms such as STRIPS or SAS+, and supports a wide range of task t...
METHOD
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+, a...
RESULT
ScienceToStartup currently rates this 0.0/10 on the public viability pass. This allows for a more compact representation of tasks than traditional formalisms such as STRIPS or SAS+, and supports a wide range of task transformations.
WHY NOW
AI Planning moved forward this cycle; last verified June 2026. Public score 0.0/10.
{"file name": "input.pdf", "number of pages": 18, "author": "Jo\u00e3o Filipe; \u00c1lvaro Torralba; Gregor Behnke", "title": "Transforming and Encoding FTS for SAT Solving: What Helps, What Hurts (Extended Version)"
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Investigating the encoding of factored tasks into SAT for planning, analyzing different translation strategies and task transformations.
Segment
AI Planning
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