State-Space Search.pdf

ai05-handout4.pdf
Preview of State-Space Search
🔗 Source: ai.dmi.unibas.ch
📊 Size: 144 KB
👤 Author: Malte Helmert
⬇️ Downloads: 147

Summary

State-space search problems involve finding a sequence of actions to reach a goal state from an initial state, with the objective of minimizing total action cost. Classical state-space search problems assume a single-agent, fully observable, static environment with a finite number of states and actions, and deterministic action effects. State spaces can be formalized as 6-tuples, including a set of states, actions, action costs, transition relation, initial state, and goal states. Transitions are deterministic, and state spaces can be represented as directed graphs. Common terminology includes predecessors, successors, applicable actions, paths, and solutions. State-space search algorithms aim to find solutions or prove that no solution exists, with optimal state-space search focusing on finding optimal solutions.

Description

State-space search problems involve finding a sequence of actions to reach a goal state from an initial state, with the objective of minimizing total action...

Technical Information

  • File Format: PDF
  • File Size: 144 KB
  • Pages: 6
  • Language: EN
  • Author: Malte Helmert
  • Total Downloads: 147
  • Last Updated: 4 weeks ago

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

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