Heuristic Search in Artificial Intelligence

Поділитися
Вставка
  • Опубліковано 20 вер 2020
  • Artificial Intelligence is about problem-solving. We have already studied state-space representation of a problem and now we will discuss how an AI Agent will move in the state space to find the optimal solution.
    Artificial Intelligence algorithms that we will write will make decisions using heuristic functions to explore only those branches in state-space where optimal solution may be obtained.
    Exploring all the branches in the state space is not convenient and is time exhaustive. In order to reduce time complexity, AI agent will be provided with the heuristic function to make decisions to disregard some branches in order to save time.
    Heuristic means a guess based on some past experience or knowledge. Heuristic function provides the heuristic value while searc
    hing in the state-space.
    Heuristic Search may not give the optimal solution in some cases but is nevertheless sufficient to reach a short-term goal.
    🔗Important Playlists:
    Artificial Intelligence: • Artificial Intelligence
    Machine Learning: • Machine Learning
    🌐Join our community:
    Android App(Notes+Videos): play.google.com/store/apps/de... Facebook: / thinkxacademy Twitter: / thinkxacademy Instagram: / thinkxacademy
    #artificialintelligence #heuristic #problemsolving

КОМЕНТАРІ • 62

  • @dheerajsingh4001
    @dheerajsingh4001 Рік тому +3

    Bruh your understanding of the concept is great and explanation is so easy to understand

  • @Leafycoke
    @Leafycoke Рік тому +2

    Adding the shortcut and then showing that a heuristic may ignore it really nailed the non-optimal but correct thing for me.

  • @boluskharte906
    @boluskharte906 Рік тому +5

    You guys make things so simple and easy just like my A.I lecturer

  • @BlinkDrive555
    @BlinkDrive555 2 роки тому

    This content is GOLD. Thank you..

    • @ThinkXAcademy
      @ThinkXAcademy  2 роки тому

      Thanks😄Share our videos to help this channel grow💯

  • @noursoltani5861
    @noursoltani5861 8 місяців тому

    Thank you so much God bless 🙌 🙏 💖

  • @adorationchigere6877
    @adorationchigere6877 Рік тому

    THANKS FOR THIS.

  • @roopagowda9271
    @roopagowda9271 Рік тому

    Great explanation..!

  • @marvin8584
    @marvin8584 3 роки тому +5

    Thanks a lot for this content. Really helps a lot. If I could give a bit of feedback on the production side, maybe disable autofocus so the focus keeps a bit more steady if you move back and forth from the board. Thanks again.

    • @ThinkXAcademy
      @ThinkXAcademy  3 роки тому +2

      I use my phone to record video and it is very old with less specs so it creates this problem.I am saving to buy a new one😄

    • @marvin8584
      @marvin8584 3 роки тому +2

      @@ThinkXAcademy In the end it is about the content and you totally deliver on that!! Keep grinding.

    • @ThinkXAcademy
      @ThinkXAcademy  3 роки тому

      Thank you sir😄

  • @mivel9763
    @mivel9763 2 роки тому +1

    Very good explanation, thank you!

    • @ThinkXAcademy
      @ThinkXAcademy  2 роки тому

      Thanks😃Share our videos with others to help this channel grow💯

  • @RoshanSingh-ce2qm
    @RoshanSingh-ce2qm 3 роки тому +1

    Crystal clear explanation.

  • @robertsibanda5734
    @robertsibanda5734 8 місяців тому

    you deserve more subscribers and views

  • @ogkush9057
    @ogkush9057 3 роки тому +6

    much better than my current prof, love the content.

    • @ThinkXAcademy
      @ThinkXAcademy  3 роки тому +1

      Thank you😄 keep learning ✅

    • @ogkush9057
      @ogkush9057 3 роки тому +1

      @@ThinkXAcademy Thank you so much for replying so quickly, I had a question. So is the best heuristic is always the one that gives you the estimate closest to the true cost? Is it true in every case?

    • @ThinkXAcademy
      @ThinkXAcademy  3 роки тому +1

      yes heuristic value is a guess value at any state that gives the estimate cost from that state to goal state

    • @ThinkXAcademy
      @ThinkXAcademy  3 роки тому +1

      watch this for more clarity: ua-cam.com/video/LYkbWAQWGro/v-deo.html

    • @ogkush9057
      @ogkush9057 3 роки тому +1

      @@ThinkXAcademy I live in Seattle, Washington and I am taking multiple CS courses at university of washington. Do you tutor as well?

  • @sarmisthamohapatra7744
    @sarmisthamohapatra7744 Рік тому

    Very good explanation

  • @aroraaaditya
    @aroraaaditya 4 місяці тому

    THIS VIDEO HAS MORE CONTENT THAN MY SEMESTER

  • @badibadru6194
    @badibadru6194 2 роки тому

    Thanks so much atleast their is an idea to learn

  • @harizhari8066
    @harizhari8066 Рік тому

    bro you are legend, when i try to study this method in my book I am so confused, after watching your video i am full clarity about this topic as well thanks for sharing your knowledge..😍😍this is going to help my exams!!! thanks man i appreciate you!!!

    • @ThinkXAcademy
      @ThinkXAcademy  Рік тому

      Thanks a lot for appreciation😄Make sure to share with other students also 💯

  • @syedkarim6493
    @syedkarim6493 3 роки тому +3

    Nice explanation...thank u. Can u introduce metaheuristics instead of heuristics? What happens at that time?

    • @ThinkXAcademy
      @ThinkXAcademy  3 роки тому +1

      I will create a video on metaheuristics sooner 👍🏻

  • @youz8260
    @youz8260 Рік тому

    Coming from regular Algorithmic development thinking and now studying AI. Now I am confused, he mentioned that heuristic AI algorithms make different decisions unlike the MergeSort he mentioned BUT this heuristic algorithm he introduced also seems like a greedy algorithm!

  • @jensX9
    @jensX9 3 роки тому +1

    Ehre!

  • @marouenkadri8771
    @marouenkadri8771 3 роки тому +1

    waw thanks bro

  • @nandinijudy_vlogs
    @nandinijudy_vlogs 2 роки тому

    nice explanation

    • @ThinkXAcademy
      @ThinkXAcademy  2 роки тому

      Thanks😀Share our content with others to help us grow

  • @russellbareyi8446
    @russellbareyi8446 3 роки тому +1

    Good info

  • @glenn9655
    @glenn9655 2 роки тому

    Can someone explain to me what is the granularity of the heuristic search? What is granularity actually means in this case? I am kind confused… thank you.

    • @ThinkXAcademy
      @ThinkXAcademy  2 роки тому +1

      Granularity Computing is used with heuristic search as in granularity the information which is in numeric form is arranged according to similarity. This helps in deriving knowledge from information. There are several types of granulation like quantization etc which is used in machine learning.

    • @ThinkXAcademy
      @ThinkXAcademy  2 роки тому

      en.wikipedia.org/wiki/Granular_computing

    • @glenn9655
      @glenn9655 2 роки тому

      @@ThinkXAcademy thanks buddy!

  • @sahezadibegum5333
    @sahezadibegum5333 3 місяці тому

    Post this video pdf as well to easy to save file for revision

  • @dennismutemi4479
    @dennismutemi4479 3 роки тому +1

    thanks sir,,,,,,

  • @Parikarthik369
    @Parikarthik369 Рік тому

    Tq sir

    • @ThinkXAcademy
      @ThinkXAcademy  Рік тому

      Thanks😄 Share our channel with other students to help them too💫

  • @SMSSureshkannan
    @SMSSureshkannan 2 роки тому

    It is similar to travel salesman problem

    • @ThinkXAcademy
      @ThinkXAcademy  2 роки тому

      yes it is heuristic is a method to solve travelling salesman problem

  • @WahranRai
    @WahranRai 3 роки тому +1

    he looks like Elvis Presley from far !

  • @SMSSureshkannan
    @SMSSureshkannan 2 роки тому

    What is difference between traveling salesman and heuristic

    • @ThinkXAcademy
      @ThinkXAcademy  2 роки тому

      heuristic is used to solve travelling salesman problem and there are different heuristics used to solve different types of problems

    • @ThinkXAcademy
      @ThinkXAcademy  2 роки тому

      checkout our full Artificial Intelligence playlist on this channel

  • @alazvlogs3858
    @alazvlogs3858 Рік тому

    hi thinkers hahha

  • @gangadhar5v
    @gangadhar5v 7 місяців тому

    you look cute and handsome