# Artificial Intelligence Questions & Answers – Probability Notation

This set of Artificial Intelligence Multiple Choice Questions & Answers (MCQs) focuses on “Probability Notation”.

1. How many issues are available in describing degree of belief?
a) 1
b) 2
c) 3
d) 4

Explanation: The main issues for degree of belief are nature of the sentences and the dependance of degree of the belief.

2. What is used for probability theory sentences?
a) Conditional logic
b) Logic
c) Extension of propositional logic
d) None of the mentioned

Explanation: The version of probability theory we present uses an extension of propositional logic for its sentences.

3. Where does the dependance of experience is reflected in prior probability sentences?
a) Syntactic distinction
b) Semantic distinction
c) Both Syntactic & Semantic distinction
d) None of the mentioned

Explanation: The dependance on experience is reflected in the syntactic distinction between prior probability statements.

4. Where does the degree of belief is applied?
a) Propositions
b) Literals
c) Variables
d) Statements

Explanation: None.

5. How many formal languages are used for stating propositions?
a) 1
b) 2
c) 3
d) 4

Explanation: The two formal languages used for stating propositions are propositional logic and first-order logic.
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6. What is the basic element of a language?
a) Literal
b) Variable
c) Random variable
d) All of the mentioned

Explanation: The basic element for a language is the random variable, which can be thought as a part of world and its status is initially unknown.

7. How many types of random variables are available?
a) 1
b) 2
c) 3
d) 4

Explanation: The three types of random variables are boolean, discrete and continuous.

8. Which is the complete specification of the state of the world?
a) Atomic event
b) Complex event
c) Simple event
d) None of the mentioned

Explanation: An atomic event is the complete specification of the state of the world about which the event is uncertain.

9. Which variable cannot be written in entire distribution as a table?
a) Discrete
b) Continuous
c) Both Discrete & Continuous
d) None of the mentioned

Explanation: For continuous variables, it is not possible to write out the entire distribution as a table.

10. What is meant by probability density function?
a) Probability distributions
b) Continuous variable
c) Discrete variable
d) Probability distributions for Continuous variables

Explanation: None.

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