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Informed Search and Exploration

791 views • 55 slides

Artificial Intelligence Chapter 4: Informed Search and Exploration

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Heuristic Search

Heuristic Search. Russell and Norvig: Chapter 4 Slides adapted from: robotics.stanford.edu/~latombe/cs121/2003/home.htm. Heuristic Search. Blind search totally ignores where the goals are. A heuristic function that gives us an estimate of how far we are from a goal. Example:

783 views • 38 slides

Chapter 7. A* Pathfinding

Chapter 7. A* Pathfinding . 2013/04/18. A* Pathfinding . For most pathfinding problems, A* is the best choice The A* algorithm is efficient, but it can consume quite a few CPU cycles. Straight-line distances to Bucharest Arad 366 Bucharest 0 Craiova 160 Drobeta 242 Eforie 161

520 views • 36 slides

Informed Search and Exploration

Informed Search and Exploration. Search Strategies Heuristic Functions Local Search Algorithms. Introduction. Heuristic search strategies: Use problem specific knowledge Can find solutions more efficiently than search strategies that do not use domain specific knowledge.

339 views • 11 slides