Uninformed search

MeghaSharma504 396 views 11 slides May 10, 2021
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About This Presentation

Uninformed search in A.I Breadth first search, Depth first search, Bidirectional search.


Slide Content

ARTIFICIAL INTELLIGENCE uninformed search 10 OMega TechEd Depth-First Search Breadth-First Search Bidirectional Search

Uninformed Search Uninformed search  algorithms do not have additional information about state or  search  space other than how to traverse the tree, so it is also called blind   search . All they can do is generate successors and distinguish a goal state from a non-goal state Example: Breadth-first search. Depth-first search Bidirectional Search OMega TechEd Subscribe

Breadth-first search Breadth-first search is a simple strategy in which the root node is expanded first, then all the successors of the root node are expanded next, then their successors, and so on. This is achieved very simply by using a FIFO queue data structure. Level Search Technique. Complete. OMega TechEd Subscribe

A F B C E G D OMega TechEd A BC CDE DEFG EFG H A B C D FGH GH H E F G H Tail Breadth-First Search Head Subscribe

Depth-first search Depth first search  ( DFS ) algorithm starts with the  initial  node of the graph G, and then goes to deeper and deeper until we find the goal node or the node which has no children. Depth-first search always expands the deepest node in the current frontier of the search tree. D epth-first search uses a LIFO . Use data structure stack. Incomplete OMega TechEd Subscribe

A F B C E G D OMega TechEd Depth-First Search A C B C B F G G B F F D E B E D D B A Subscribe

Bidirectional search The idea behind bidirectional search is to run two simultaneous searches, one forward from the initial state and the other backward from the goal, hoping that the two searches meet in the middle. OMega TechEd Subscribe

A B C D OMega TechEd Bidirectional Search Initial State Goal State Subscribe F E H G I Intersection node

Comparison O f Uninformed S earch S trategies Criteriaon Breadth First Depth First Bidirectional Complexity b d b m b d/2 Optimality Yes No Yes Completeness Yes No Yes OMega TechEd Subscribe

Thanks For Watching Reference: Artificial Intelligence A Modern Approach Third Edition Peter Norvig and Stuart J. Russell Next Topic: Informed Search. Subscribe Like Share OMega TechEd

OMega TechEd About the Channel This channel helps you to prepare for BSc IT and BSc computer science subjects. In this channel we will learn Business Intelligence ,Artificial Intelligence, Digital Electronics, Internet OF Things Python programming , Data-Structure etc. Which is useful for upcoming university exams. Gmail: [email protected] Social Media Handles: omega.teched megha_with Subscribe