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This video on Backward Chaining and Forward Chaining in AI will explain forward chaining and backward chaining concept in AI with the help of examples.
Backward chaining is like starting with the answer you want to find and figuring out the clues that lead to it. On the other hand, forward chaining is like starting with the facts you already know and using rules to uncover new information. Both techniques are like paths that computers take to solve problems – one starts with the goal and finds the path to it, while the other starts with what it knows and keeps adding to it until the solution becomes clear. These strategies make AI systems smart and capable of cracking intricate problems!

00:00 Intro to backward chaining and forward chaining
02:29 What is backward chaining?
02:56 backward chaining example
04:19 Adv & Dis of backward chaining
05:29 What is forward chaining?
05:56 Forward chaining example
07:15 Adv & Dis of Forward chaining
08:33 Diff b/w Backward chaining and Forward Chaining

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Got a Question on this topic? Let us know in the comment section below 👇 and we'll have our experts answer it for you.

[joe-sydney-au]

First comment, and I have a suggestion: Pls do a video with React front-end, that talks to a WebAPI made with DOTNET Core and saves the Data via EntityFramework Core to a MySql Database. Then I will came back to watch (and I am sure many others will).
Otherwise you are just repeating things over and over - you have a few crash courses that just repeat the same video over and over a few months later.