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CMPT 380 A - Artificial Intelligence (FA 2025)

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In the Wumpus world, A breeze or not in each visited square and no pit in any visited square are abbreviated as b & known:

b = ¬b1,1∧b1,2∧b2,1

known = ¬p1,1∧¬p1,2∧¬p2,1

what's the probability of a pit at [1,3], given the evidence so far (P(P1,3|known, b))? (Find the most simplified expression.)

wumpus0wumpus

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When we know the actual values of the following probabilities, how can we calculate P(¬b|a)? (Make sure that you can get an actual value, not just an equation. This calculation may require two or three steps.)

•P(a) 

•P(b) 

•P(a|b) 

•P(a|¬b) 

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In the Wumpus world, A breeze or not in each visited square and no pit in any visited square are abbreviated as b & known:

b = ¬b1,1∧b1,2∧b2,1

known = ¬p1,1∧¬p1,2∧¬p2,1

what's the probability of a pit at [1,3], given the evidence so far (P(P1,3|known, b))? (Find the most simplified expression.)

wumpus0wumpus

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0%
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0%
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How to calculate the value of P(cavity ∨ toothache) based on the following the full joint distribution?

table

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How to calculate the value of P(cavity | toothache) = P(cavity ∧ toothache) / P(toothache) based on the following full joint distribution?

table

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What axiom shows the product rule form?

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There are two random variables: Weather and Cavity.

Each random variable has the following values:

Weather = {sunny, rain, cloudy, snow}

Cavity = {cavity, ¬cavity}

What is the conditional probability of having rain given that there is a cavity?

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Which equation shows Bayes' Rule?

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We have four random variables: Weather, Toothache, Catch, Cavity. But we know that dental problems don't influence the weather. And we know that the weather doesn't seem to influence dental variables. 

Which is expressed correctly based on these facts?

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What will be the result after applying the resolution inference rule to the following?

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