Uncertainty:Probability

Question 1

Uncertainty in AI

Answer 1

The lack of ability to know whether an event will occur.

Question 2

Handling uncertainty in AI

Answer 2

By omitting it or representing all possible outcomes probabilistically.

Question 3

Probability

Answer 3

A numerical measure of the likelihood of a specific outcome.

Question 4

Vagueness

Answer 4

Ambiguity or incompleteness in information.

Question 5

Probability calculus

Answer 5

A formal mathematical framework for working with probabilities.

Question 6

Probability distribution

Answer 6

A function describing the likelihood of all outcomes of a random variable.

Question 7

Prior distribution

Answer 7

The initial probability assigned before any observations.

Question 8

Conditional distribution

Answer 8

The probability of one variable given the value of another.

Question 9

Posterior probability

Answer 9

The updated probability after observing evidence.

Question 10

Reward in AI

Answer 10

An incentive guiding the agent toward a desired goal.

Question 11

Utility

Answer 11

A measure of how desirable an outcome or state is to an agent.

Question 12

Expected utility

Answer 12

The sum of utilities of all outcomes

Question 13

Optimal utility

Answer 13

The highest possible expected utility from any action.

Question 14

Sensitivity

Answer 14

The ability to correctly identify true positives.

Question 15

Specificity

Answer 15

The ability to correctly identify true negatives.