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Logical Inferencing

We continue our discussion of logical forms by exploring logical inferencing. Recall, that one of the main goals of studying logic is to be able to derive new statements from existing statements. This process is known as logical inferencing. We can assess the validity of arguments using various rules of inference.

Arguments and Validity

An argument is a sequence of propositions, where the last proposition is the conclusion. An argument form is a sequence of logical forms, called premises, where the last form is the conclusion. An argument can be valid or invalid. Please note, that the validity of an argument does not depend on the propositions involved, but rather on the strucutre of the argument itself.

We can use truth tables and rules of inference to decude the validy of an argument.

Truth Tables for Validity

The first step in deducing the validy oif an argument is determing which propostionss are premises and conclusions. Once we have identified the premises and conclusion, we can construct a truth table that includes all the premises and the conclusion. An argument is valid if, in every row of the truth table where all the premises are true, the conclusion is also true. These rows are called critical rows. All critical rows must have a true conclusion for the argument to be valid.

Rules of Inference

A 8rule of inference* is a logical form that describes how new statements can be derived from existing statements using valid logical steps.

Generalization

A common rule of inference is Generalization. It states that if we have a statement pp that is true, then we can conclude that pqp \lor q is also true, for any proposition qq. The form of Generalization is as follows: pp therefore pqp \lor q. We can also inference qq therfore pqp \lor q. The inclusive or allows us to infer the disjunction from either of its components, as the statement will be true as long as at least one of the components is true.

Specialization

Another common rule of inference is Specialization. It states that if we have a statement pqp \land q that is true, then we can conclude that pp is also true, and we can also conclude that qq is also true. The form of Specialization is as follows: pqp \land q therefore pp, and pqp \land q therefore qq. This rule allows us to infer the individual components of a conjunction from the conjunction itself. As we know that for a conjunction to be true, both components must be true.

Elimination

If have a disjunction pqp \lor q and we know that one of the components is false, we can conclude that the other component must be true. This rule is known as Elimination. The form of Elimination is as follows: pqp \lor q, not pp therefore qq, and pqp \lor q, not qq therefore pp. This rule allows us to infer the truth of one component of a disjunction when we know that the other component is false, as for the disjunction to be true, at least one of the components must be true.

Transposition

If pqp \to q and qrq \to r, we can conclude that prp \to r. This rule is known as Transposition. The form of Transposition is as follows: If pp then qq, if qq then rr therefore if pp then rr. This rule allows us to chain conditionals together to derive new conditionals infinitely.

Division by Cases

If we know that pqp \lor q is true, and we also know that if pp is true then rr is true, and if qq is true then rr is true, we can conclude that rr is true. This rule is known as Division by Cases. The form of Division by Cases is as follows: pqp \lor q, if pp then rr, if qq then rr therefore rr. This rule allows us to infer the truth of a statement based on the truth of a disjunction and the implications of its components. As we know that either pp or qq is true, and both lead to rr being true, we can conclude that rr must be true.

Modus Ponens

One of the most common rules of inference is Modus Ponens. It states that if we have a conditional statement pqp \to q and we know that pp is true, then we can conclude that qq is also true. The form of Modus Ponens is as follows: If pp then qq, pp therefore qq.

ppqqpqp \to qConclusion (qq)
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In this truth table, we can see that in the first row, where both pp and qq are true, the conclusion is also true. In the second row, where pp is true and qq is false, the conclusion is false. In the third and fourth rows, where pp is false, the conclusion is not applicable. Therefore, Modus Ponens is a valid rule of inference.

Modus Tollens

Another important rule of inference is Modus Tollens. It states that if we have a conditional statement pqp \to q and we know that qq is false, then we can conclude that pp is also false. The form of Modus Tollens is as follows: If pp then qq, not qq therefore not pp. This follows from the contrapositive of the conditional statement.

ppqqpqp \to qConclusion (¬p\neg p)
TTTF
TFFF
FTTT
FFTT

Contradiction Rules

Another useful rule of inference is the Contradiction Rule. If we can show that pp is false logically leads to a contradiction cc, we can conclude that pp must be true. The form of the Contradiction Rule is as follows: Not pp leads to contradiction cc therefore pp. This rule allows us to infer the truth of a statement by demonstrating that its negation leads to an inconsistency.

Beware of Fallacy

Although rules of inference are powerful tools for deducing new statements, it is important to be aware of common logical fallacies that can lead to invalid conclusions, even when using the rules. Ensure that the premises you begin with are well defined.

The Converse Error

One very common fallacy is the Converse Error. This occurs when we mistakenly assume that if pqp \to q is true, then qpq \to p must also be true. However, this is not necessarily the case. The truth of the converse depends on the specific propositions involved and cannot be assumed based solely on the original conditional statement.

ppqqpqp \to qqpq \to p
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The converse is only true if you have a biconditional statement, pqp \leftrightarrow q, which states that both pqp \to q and qpq \to p are true. This does not hold for simple implications.

The Inverse Error

Another common fallacy is the Inverse Error. This occurs when we mistakenly assume that if pqp \to q is true, then ¬p¬q\neg p \to \neg q must also be true. However, this is not necessarily the case. The truth of the inverse depends on the specific propositions involved and cannot be assumed based solely on the original conditional statement.

ppqqpqp \to q¬p\neg p¬q\neg q¬p¬q\neg p \to \neg q
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TFFFTT
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