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Formal Reasoning
254 Chapter 7 Thought, Language, and Intelligence Thinking Strategies 䉴 Do people always think logically? PITFALLS IN LOGICAL REASONING “Elderly people cannot be astronauts; this is an elderly man; therefore, he cannot be an astronaut.” The logic is correct, but because the first statement is wrong, so is the conclusion. In 1962, John Glenn became the first American astronaut to orbit the earth. Here he is in 1998, at the age of seventy-seven, just before he returned to space as a full-fledged member of the crew of the space shuttle Discovery. reasoning The process by which people generate and evaluate arguments and reach conclusions about them. formal reasoning A set of rigorous procedures for reaching valid conclusions. algorithms Systematic procedures that cannot fail to produce a correct solution to a problem. rules of logic A set of statements that provide a formula for drawing valid conclusions. We have seen that our thinking capacity is based largely on our ability to manipulate mental representations—the ingredients of thought—much as a baker manipulates the ingredients of cookies. The baker’s food-processing system combines and transforms these ingredients into a delicious treat. Our information-processing system combines, transforms, and elaborates mental representations in ways that allow us to engage in reasoning, problem solving, and decision making. Let’s begin our discussion of these thinking strategies by considering reasoning: the process through which we generate and evaluate arguments, as well as reach conclusions about them. Formal Reasoning Astronomers tell us that the temperature at the core of the sun is about 27 million degrees Fahrenheit. How do they know this? They can’t put a temperature probe inside the sun, so their estimate is based on inferences from other things that they know about the sun and about physical objects in general. For example, telescopic observations allowed astronomers to calculate the energy coming from one small part of the sun. They then used what geometry told them about the surface area of spheres to estimate the sun’s total energy output. Further calculations told them how hot a body would have to be to generate that much energy. In other words, astronomers’ estimates of the sun’s core temperature are based on formal reasoning (also called logical reasoning)—the process of following a set of rigorous steps for reaching valid, or correct, conclusions. Some of these steps included the application of specific mathematical formulas to existing data in order to generate new data. Such formulas are examples of algorithms—systematic methods that always reach a correct solution to a problem, if a correct solution exists. The astronomers also followed the rules of logic, a set of statements that provide a formula for drawing valid conclusions about the world. For example, each step in the astronomers’ thinking took the form of “if-then” propositions: If we know how much energy comes from one part of the sun’s surface, and if we know how big the whole surface is, then we can calculate the total energy output. You use the same logical reasoning processes when you conclude, for example, that if your friend José is two years older than you are, then his twin brother, Juan, will be two years older, too. This kind of reasoning is called deductive reasoning, because it takes a general rule (e.g., twins are the same age) and applies it to deduce conclusions about specific cases (e.g., José and Juan). Most of us try to use logical or deductive reasoning to reach valid conclusions and avoid invalid ones (Rips, 1994). However, even when our logic is perfect, we can make mistakes if we base our reasoning on false assumptions. Likewise, correct assumptions combined with faulty logic can lead to errors. Do you think the following example leads to a valid conclusion? Assumption 1: All women want to be mothers. Assumption 2: Jill is a woman. Conclusion: Jill wants to be a mother. If you said that the first assumption is not necessarily correct, you’re right. Now consider this example: Assumption 1: All gun owners are people. Assumption 2: All criminals are people. Conclusion: All gun owners are criminals. Here, the assumptions are correct, but the logic is faulty. If “all A’s are B” and “all C’s are B,” it does not follow that “all A’s are C.”