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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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