Search Problems

Artificial Intelligence    |    Beginner
  • 13 videos | 37m 11s
  • Includes Assessment
  • Earns a Badge
Many problems faced by intelligent agents can be solved using searching methods. Explore search problems and useful methods to solve these problems.

WHAT YOU WILL LEARN

  • Define search problems and how these can be used by ai agents
    List some problems that are ideal for searching algorithms
    Define how to represent search problems
    Describe the breadth-first search algorithm
    Describe the depth-first search algorithm
    Describe depth-limited search and the iterative deepening search algorithms
    Describe the greedy approach for best-first informed searching
  • Define heuristics and their various properties
    Describe how to create a good heuristic function for a given search problem
    Describe the a* search algorithm
    Describe local searching and the hill-climbing search algorithm
    Describe the simulated annealing search algorithm and how it improves on hill-climbing search
    Describe the three environmental characteristics of search problems, state the function for a consistent heuristic, and state the function for an a* search

IN THIS COURSE

  • 5m 27s
    In this video, you will learn how to define search problems and how AI agents can use them. FREE ACCESS
  • 3m 22s
    After completing this video, you will be able to list some problems that are ideal for search algorithms. FREE ACCESS
  • Locked
    3.  Representing Search Problems for Search Algorithms
    4m 19s
    In this video, you will learn how to represent search problems. FREE ACCESS
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    4.  Breadth-First Search
    2m 21s
    After completing this video, you will be able to describe the breadth-first search algorithm. FREE ACCESS
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    5.  Depth-First Search
    1m 30s
    After completing this video, you will be able to describe the depth-first search algorithm. FREE ACCESS
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    6.  Iterative Deepening Search
    2m 58s
    After completing this video, you will be able to describe the depth-limited search and iterative deepening search algorithms. FREE ACCESS
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    7.  Greedy Best-First Search
    3m 2s
    Upon completion of this video, you will be able to describe the greedy approach for best-first informed searching. FREE ACCESS
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    8.  Heuristics
    3m 49s
    Find out how to define heuristics and their various properties. FREE ACCESS
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    9.  Making Good Heuristics
    3m 19s
    Upon completion of this video, you will be able to describe how to create a good heuristic function for a given search problem. FREE ACCESS
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    10.  A* Search
    1m 42s
    Upon completion of this video, you will be able to describe the A* search algorithm. FREE ACCESS
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    11.  Hill-Climbing Search
    2m 8s
    After completing this video, you will be able to describe local searching and the hill-climbing search algorithm. FREE ACCESS
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    12.  Simulated Annealing
    1m 46s
    Upon completion of this video, you will be able to describe the simulated annealing search algorithm and how it improves upon hill-climbing search. FREE ACCESS
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    13.  Exercise: Describe Search Problems
    1m 31s
    After completing this video, you will be able to describe the three environmental characteristics of search problems, state the function for a consistent heuristic, and state the function for an A* search. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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