Artificial Intelligence

Propositional Logic

Introduction: The rules of logic give precise meaning to mathematical statements. These rules are used to distinguish between valid and invalid mathematical arguments. Besides the importance of logic in understanding mathematical reasoning, logic has numerous applications to computer science. These rules are used in the design of computer circuits, the construction of computer programs, the verification of the correctness of programs, and in many other ways. Furthermore, software systems have been developed for constructing some, but not all, types of proofs automatically

Propositions: Our discussion begins with an introduction to the basic building blocks of logic—propositions. A proposition is a declarative sentence (that is, a sentence that declares a fact) that is either true or false, but not both.

EXAMPLE 1 All the following declarative sentences are propositions.
1. Washington, D.C., is the capital of the United States of America.
2. Toronto is the capital of Canada.
3. 1 1 = 2.
4. 2 2 = 3.
Propositions 1 and 3 are true, whereas 2 and 4 are false. Some sentences that are not propositions are given in Example 2.

EXAMPLE 2 Consider the following sentences.
1. What time is it?
2. Read this carefully.
3. x 1 = 2.
4. x y = z.
Sentences 1 and 2 are not propositions because they are not declarative sentences. Sentences 3 and 4 are not propositions because they are neither true nor false. Note that each of sentences 3 and 4 can be turned into a proposition if we assign values to the variables.

We use letters to denote propositional variables (or statement variables), that is, variables that represent propositions, just as letters are used to denote numerical variables. The conventional letters used for propositional variables are p, q, r, s, . . . . The truth value of a proposition is true, denoted by T, if it is a true proposition, and the truth value of a proposition is false, denoted by F, if it is a false proposition.

The area of logic that deals with propositions is called the propositional calculus or propositional logic. It was first developed systematically by the Greek philosopher Aristotle more than 2300 years ago.

We now turn our attention to methods for producing new propositions from those that we already have. These methods were discussed by the English mathematician George Boole in 1854 in his book The Laws of Thought. Many mathematical statements are constructed by combining one or more propositions. New propositions, called compound propositions, are formed from existing propositions using logical operators.

DEFINITION 1 Let p be a proposition. The negation of p, denoted by¬p (also denoted by p), is the statement “It is not the case that p.” The proposition ¬p is read “not p.” The truth value of the negation of p, ¬p, is the opposite of the truth value of p.

EXAMPLE 1 Find the negation of the proposition “Michael’s PC runs Linux” and express this in simple English.
Solution: The negation is “It is not the case that Michael’s PC runs Linux.” This negation can be more simply expressed as “Michael’s PC does not run Linux.”
 

EXAMPLE 2 Find the negation of the proposition “Vandana’s smartphone has at least 32GB of memory” and express this in simple English.

Solution: The negation is “It is not the case that Vandana’s smartphone has at least 32GB of memory.”
This negation can also be expressed as “Vandana’s smartphone does not have at least 32GB of memory”
or even more simply as “Vandana’s smartphone has less than 32GB of memory.”

Table 1 displays the truth table for the negation of a proposition p. This table has a row for each of the two possible truth values of a proposition p. Each row shows the truth value of ¬p corresponding to the truth value of p for this row.
The negation of a proposition can also be considered the result of the operation of the negation operator on a proposition. The negation operator constructs a new proposition from a single existing proposition.We will now introduce the logical operators that are used to form new propositions from two or more existing propositions. These logical operators are also called connectives.

DEFINITION 2 Let p and q be propositions. The conjunction of p and q, denoted by p ∧ q, is the proposition “p and q.” The conjunction p ∧ q is true when both p and q are true and is false otherwise.

Table 2 displays the truth table of p ∧ q. This table has a row for each of the four possible combinations of truth values of p and q. The four rows correspond to the pairs of truth values TT, TF, FT, and FF, where the first truth value in the pair is the truth value of p and the second truth value is the truth value of q. Note that in logic the word “but” sometimes is used instead of “and” in a conjunction. For example, the statement “The sun is shining, but it is raining” is another way of saying “The sun is shining and it is raining.” (In natural language, there is a subtle difference in meaning between “and” and “but”; we will not be concerned with this nuance here.)

EXAMPLE 3 Find the conjunction of the propositions p and q where p is the proposition “Rebecca’s PC has more than 16 GB free hard disk space” and q is the proposition “The processor in Rebecca’s PC runs faster than 1 GHz.”
Solution: The conjunction of these propositions, p ∧ q, is the proposition “Rebecca’s PC has more than 16 GB free hard disk space, and the processor in Rebecca’s PC runs faster than 1 GHz.” This conjunction can be expressed more simply as “Rebecca’s PC has more than 16 GB free hard disk space, and its processor runs faster than 1 GHz.” For this conjunction to be true, both conditions given must be true. It is false, when one or both of these conditions are false.