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AI · Theory

Difference between Backward Chaining and Forward Chaining

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Theory

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Difference between Backward Chaining and Forward Chaining

Forward: start from known facts, apply rules, grow the KB. Good when many facts stream in. Can do extra work. Backward: start from the goal, only explore relevant rules. Good for a single query. Can loop if rules are sloppy.

Same knowledge, different walk. Don’t say one is “more AI”. Say data-driven vs goal-driven + one example each.

Output — idea / do / check for Difference between Backward Chaining and Forward Chaining. Fill those three in the viva.

Exam tip

Data-driven vs goal-driven + examples.

Example

# Difference between Backward Chaining and Forward Chaining
print("idea :", "Difference between Backward Chaining and F")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Difference between Backward Chaining and Forward Chaining. Fill those three in the viva.

Short notes

  • DefForward = facts first. Backward = goal first.
  • RuleBoth need well-written rules.

Questions

1

How do you explain Difference between Backward Chaining and Forward Chaining on the board? Give one example each side.

2

When would you still pick the human side?

3

What phrase should you avoid?

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