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About AI Lecture Nortes: Tim Blackwell October 24, 2016
The document outlines various search strategies for problem solving by artificial intelligence agents, including: 1) Breadth-first search which expands the shallowest nodes first, guarantees completeness and optimality for uniform cost problems, but has exponential time and space complexity. 2) Depth-first search which expands deepest nodes first, is complete for finite graphs but not trees due to loops, and is not optimal due to redundant states. It has better space but worse time complexity than breadth-first search. 3) Depth-limited search limits the depth of search trees to address the unlimited growth of depth-first search trees, at the cost of losing completeness guarantees.
Detailed Information
Author: | ['gfhjdf'] |
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Publication Year: | 2016 |
Pages: | 27 |
Language: | English |
Format: | |
Price: | FREE |
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