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Thinking and Deciding

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TYPES OF LOGIC 81<br />

The system of categorical logic is concerned with membership in categories. It<br />

concerns the behavior of arguments with the words “all,” “some,” “none,” “not,” <strong>and</strong><br />

“no.” This is the type of logic most intensively discussed by the Greek philosopher<br />

Aristotle, the main inventor of formal logic, <strong>and</strong> the type most studied by psychologists.<br />

Here are two examples of valid arguments of this type:<br />

All As are Bs.<br />

All Bs are Cs.<br />

Therefore all As are Cs.<br />

Some A are B.<br />

No B are C.<br />

Therefore some A are not C.<br />

The system of predicate logic includes both propositional <strong>and</strong> categorical logic.<br />

It includes relations among terms as well as class membership. A “predicate” is<br />

anything that is true or false of a term or set of terms. In the sentence “A man is a<br />

scientist,” the word “scientist” is considered a “one-place predicate,” because it says<br />

that something is true of the single term “man.” In the sentence “John likes Mary,”<br />

the word “likes” is considered a “two-place predicate,” because it describes a relation<br />

between two specific terms. In predicate logic, we can analyze such questions as<br />

this: “If every boy likes some girl <strong>and</strong> every girl likes some boy, does every boy like<br />

someone who likes him?”<br />

Other systems of logic extend predicate logic in various ways. For example,<br />

modal logic is concerned with arguments using such terms as “necessarily” <strong>and</strong> “possibly.”<br />

The idea is not simply to capture the meanings of English words as they are<br />

normally used but also, as in the “if” example described earlier, to develop formal<br />

rules for particular meanings, usually the most conservative meanings. No sharp<br />

boundary separates modern logic from “semantics,” the part of modern linguistics<br />

that deals with meaning.<br />

The various systems of logic I have listed constitute what I shall call “formal”<br />

logic. These systems have in common their concern with validity, that is, the drawing<br />

of conclusions that are absolutely certain from premises that are assumed to be<br />

absolutely certain. (The next chapter considers “informal” logic.)<br />

If we view formal logic within the search-inference framework, we see that formal<br />

logic is concerned with the rules for drawing conclusions from evidence with<br />

certainty. That is, it is concerned only with inference. It says nothing about how<br />

evidence is, or should be, obtained. Formal logic, therefore, cannot be a complete<br />

theory of thinking. Moreover, formal logic cannot even be a complete normative<br />

theory of inference, for most inferences do not involve the sort of absolute certainty<br />

that it requires.<br />

Nonetheless, logic may be a partial normative theory of inference. Each system<br />

of logic has its own rules that specify how to draw valid conclusions from a set of<br />

evidence, or premises. These rules make up the normative model. Within logic,<br />

there are many such systems of rules, <strong>and</strong> often there are many equivalent ways of<br />

describing the same system. These rules are the subject matter of logic textbooks.

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