Recall & Review
beginner
What is deductive reasoning in AI?
Deductive reasoning starts with general rules or facts and applies them to specific cases to reach a conclusion. It's like using a recipe to bake a specific cake.
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beginner
When should you use inductive reasoning?
Use inductive reasoning when you want to learn general rules from specific examples, like noticing that the sun rises every morning and concluding it will rise tomorrow too.
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intermediate
What is abductive reasoning and when is it useful?
Abductive reasoning guesses the best explanation for an observation, like a detective solving a mystery. Use it when you have incomplete information and want the most likely cause.
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intermediate
Why use analogical reasoning in AI?
Analogical reasoning solves new problems by comparing them to similar past problems. It's like using what you learned riding a bike to learn riding a scooter.
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beginner
How do you decide which reasoning pattern to use?
Choose based on your goal and data: use deductive for applying rules, inductive for learning patterns, abductive for best guesses with missing info, and analogical for solving by similarity.
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Which reasoning pattern applies a general rule to a specific case?
✗ Incorrect
Deductive reasoning uses general rules to reach conclusions about specific cases.
If you observe many examples and form a general rule, which reasoning are you using?
✗ Incorrect
Inductive reasoning learns general rules from specific examples.
Which reasoning guesses the best explanation with incomplete information?
✗ Incorrect
Abductive reasoning finds the most likely cause when information is missing.
Using past similar problems to solve a new one is called?
✗ Incorrect
Analogical reasoning solves problems by comparing to similar past cases.
Which reasoning pattern is best when you have clear rules and want to apply them?
✗ Incorrect
Deductive reasoning is best for applying clear, known rules.
Explain the four main reasoning patterns used in AI and when to use each.
Think about how you solve problems in daily life using rules, examples, guesses, or comparisons.
You got /4 concepts.
How do you decide which reasoning pattern to use for a given AI problem?
Match your problem situation to the strengths of each reasoning type.
You got /4 concepts.