AI · Theory

Probabilistic Reasoning

Theory

44/215

Probabilistic Reasoning

When you are not sure, use probabilities, not only true/false. Bayes updates belief when evidence arrives. Bayesian networks factor joint distributions. Useful for medical diagnosis, spam, sensor noise.

Don’t replace every logic class with “0.73”. Say when uncertainty is real: sensors fail, language is ambiguous.

Output — idea / do / check for Probabilistic Reasoning. Fill those three in the viva.

Exam tip

Why logic alone fails with noisy sensors.

Example

# Probabilistic Reasoning
print("idea :", "Probabilistic Reasoning")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Probabilistic Reasoning. Fill those three in the viva.

Short notes

DefBeliefs as probabilities.
RuleBayes + Bayes nets.

AI · Theory

Probabilistic Reasoning

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Theory

44/215

Probabilistic Reasoning

Don’t replace every logic class with “0.73”. Say when uncertainty is real: sensors fail, language is ambiguous.

Output — idea / do / check for Probabilistic Reasoning. Fill those three in the viva.

Exam tip

Why logic alone fails with noisy sensors.

Example

# Probabilistic Reasoning
print("idea :", "Probabilistic Reasoning")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Probabilistic Reasoning. Fill those three in the viva.

Short notes

DefBeliefs as probabilities.
RuleBayes + Bayes nets.

Probabilistic Reasoning

Example

Short notes

Questions

Probabilistic Reasoning

Example

Short notes

Questions