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Questions and Answers
Which type of search techniques systematically evaluate every path in the search space?
What is the main purpose of using a heuristic in search algorithms?
Which hill-climbing algorithm selects the best possible move at each point and requires all child nodes to be generated first?
What does beam search involve in comparison to other hill-climbing algorithms?
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Which type of search strategy is used to find the best or shortest route?
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Study Notes
Search Techniques
- Exhaustive search techniques systematically evaluate every path in the search space.
Heuristics in Search Algorithms
- The main purpose of using a heuristic is to guide the search towards more promising areas of the search space.
Hill-Climbing Algorithms
- Steepest-ascent hill-climbing selects the best possible move at each point and requires all child nodes to be generated first.
Beam Search
- Beam search involves selecting a fixed number of best nodes (beam width) to expand at each level, unlike other hill-climbing algorithms.
Search Strategies
- Optimal search strategies are used to find the best or shortest route.
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Description
Test your knowledge of heuristic search methods with this quiz covering depth-first and breadth-first searches, and the use of domain-specific information to reduce search space. Challenge yourself to understand how algorithms can be directed towards solving problems more efficiently.
