A* Search | A Star Search algorithm Solved Example in Artificial Intelligence by Magesh Huddar

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  • Опубліковано 6 лют 2025
  • A* Search | A Star Search algorithm Solved Example in Artificial Intelligence by Magesh Huddar
    1. Solved Example: • 1. A star Search Algor...
    2. Solved Example: • 2. A* star Search Algo...
    3. Solved Example: • 3. A star Search Algor...
    4. Solved Example: • A* star Search Algorit...
    5. Solved Example: • A Star Search Algorith...
    The following concepts are discussed:
    ______________________________
    a star algorithm,
    a* search algorithm,
    a* search algoritması,
    a* algorithm in artificial intelligence,
    a* algorithm,
    a* search algorithm in artificial intelligence,
    a star algorithm example,
    a* algorithm in artificial intelligence example,
    a* search algoritmasıexample
    ********************************
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КОМЕНТАРІ • 19

  • @LemmaGetiye
    @LemmaGetiye Місяць тому +5

    Thank you

  • @nsc1307
    @nsc1307 3 місяці тому +3

    Sir please continue doing videos

  • @ramcharan3267
    @ramcharan3267 2 місяці тому +8

    Heuristic values will be given or we should take

    • @MaheshHuddar
      @MaheshHuddar  2 місяці тому +7

      Given

    • @uniqueworldkrisss
      @uniqueworldkrisss Місяць тому

      ​@@MaheshHuddar Sir how can we find heuristic value if it is not given.

    • @enes5345
      @enes5345 18 днів тому +1

      ​@@uniqueworldkrisss as the name suggests , they are heuristic values so you can select any heuristic function to determine their costs. It can be like a distance function that uses manhattan distance or euclidian distance that calculates the distance between your node and the goal node. The only important thing is your heuristic values should not be greater than actual cost values so those values cannot be completely random. If you dont know anything about the nodes(like their position in a grid ) like in the example graph and assuming the heuristic values are not given you can select their original costs as heuristic values to run A* but keep in mind that the better your heuristic values the faster your search will be

  • @realbeinganjankumar8763
    @realbeinganjankumar8763 16 днів тому

    nice

  • @thequeenofaj3020
    @thequeenofaj3020 17 днів тому +2

    they gave this problem in ai model question paper without the edge distances, was that a mistake? in the actual exam they'll always give the edge lengths and heuristic values, right?

    • @brodarsxan
      @brodarsxan 17 днів тому +1

      Yeah same doubt,in mqp ,they haven't given the cost

  • @vidyashreev8
    @vidyashreev8 17 днів тому

    For this question solve using greedy breadth first search sirr

  • @nsc1307
    @nsc1307 3 місяці тому +3

    Excellent explanation sir , my college teachers should learn from your teaching

    • @nsc1307
      @nsc1307 3 місяці тому +2

      In my college and other colleges there are many students suffering from this subject AI ,
      Even my teachers don't know basic idea of ai 😔😔😔

    • @AnuSri-j8r
      @AnuSri-j8r Місяць тому

      ​@@nsc1307same heree...

  • @hemanthreddy5479
    @hemanthreddy5479 Місяць тому +2

    Sir I have tomorrow AI Exam can you suggest you tube channel to learn CSP concept in AI

  • @JeomonGeorge
    @JeomonGeorge 3 місяці тому

    sir how we can calculate the table that is shown in the video

  • @nsc1307
    @nsc1307 3 місяці тому

    Searching: -
    Searching for solutions, uniformed search strategies Breadth first search, depth first Search. Search with partial information (Heuristic search) Hill climbing, A* „AO* Algorithms, Problem reduction, Game Playing-Adversial search, Games, mini-max algorithm, optimal decisions in multiplayer games, Problem in Game playing, Apha-Beta pruning, Evaluation functions.

    • @nsc1307
      @nsc1307 3 місяці тому

      Sir please do videos on this topics , there is no clear explanation videos on UA-cam.