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SAT Planning.pdf

po-c04-handout4.pdf
Preview of SAT Planning
🔗 Source: ai.dmi.unibas.ch
📊 Size: 194 KB
👤 Author: Malte Helmert and Gabriele Röger
⬇️ Downloads: 118

Summary

SAT planning involves using SAT solvers to find satisfying assignments for classical planning problems, with a core idea of iterative deepening to generate propositional formulas that test for plans with increasing horizon lengths. The process involves encoding the planning problem into a SAT formula, which includes variables for state and operator encoding, and clauses for initial state, goal, operator selection, and transitions. The SAT formula is built by conjunction of these parts, ensuring that models of the formula correspond to valid plans. The planning algorithm iteratively probes increasing horizons using a SAT solver, returning a plan if a model is found, and terminating if no plan exists within a reasonable horizon.

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Description

SAT planning involves using SAT solvers to find satisfying assignments for classical planning problems, with a core idea of iterative deepening to generate...

Technical Information

  • File Format: PDF
  • File Size: 194 KB
  • Pages: 7
  • Language: EN
  • Author: Malte Helmert and Gabriele Röger
  • Total Downloads: 118
  • Last Updated: 3 hours ago

Document Overview

This PDF document about SAT Planning provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into SAT Planning.

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Planning guidePlanning tutorial

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