Logic
Aristotle was the first person to systematize the rules of logic. He thought of logic as “a study of proof.” His work on logic is found in his
Deductive Reasoning
Since Aristotle was chiefly concerned with the form of proof, he was most interested in syllogism, which he assumed provided certain knowledge concerning reality. For instance, in the syllogism “All men are mortal, Socrates is a man, therefore Socrates is mortal,” it is not merely that the conclusion is deduced according to the formal laws of logic; Aristotle assumes that the conclusion is verified in reality. With syllogisms, one reasons from the universal (e.g., a principle like “All men are mortal” or “All kindness is good”) to a particular instance (e.g., “Bill is mortal” or “Giving to the poor is good”).
These are called “categorical syllogisms,” since he is referring to categories like “men,” “mortal,” and a particular man, “Socrates.” If the placement of these terms is imperfect, then the form of the syllogism will not work. For instance, if one says, “All Men are Mortal, Socrates is Mortal, so Socrates is a Man,” the syllogism has bad form. For reasoning from the first two premises one can only conclude that Socrates is a man, not that he is mortal. Since the form of reasoning is in error, the syllogism commits a formal fallacy and is
Besides syllogistic deductive reasoning, there are three laws of thought that are also known with certainty according to Aristotle. The first is the
The second law is the
The third law is the
Inductive Reasoning
In the
Aristotle's Square of Opposition is one of the most useful educational tools available for anyone trying to develop, attack, or defend a thesis. Someone might contend that “All stealing is wrong.” But the square reminds us that to defeat such a universal affirmative thesis we only need one example — in this case “Some stealing is not wrong.”
In everyday life, however, few arguments are deductive. There are times when the best one can do in arguing is to arrive at conclusions that are probable. So you might reason: “Whenever I have set my alarm for 6 A.M., it has sounded off at 6 A.M. Therefore, the next time I set it at 6 A.M., it will sound off at 6 A.M.” Now it may be true that your alarm will once again sound at 6 A.M., and you hope that it does. The probability that it will sound off is high — close to a probability of one, which is to say close to a certainty. But you cannot be certain that it will; it is a
You expect that it will take you thirty minutes to drive to your job from your home because it
Can facts about experiences ever be certain?
It is tempting to think so. For instance, the sun has always risen, so you may conclude that the sun will rise tomorrow. Similarly, since penicillin has always healed your strep throat in the past, you infer that it will help the next time. But both conclusions are merely probable; that is, their probabilities are less than one.
Probabilities play out frequently on the field of sports. In years past, if you have seen a baseball player, say Boston's David Ortiz, hit for a batting average of .300. (equivalent to 30 hits for every 100 at bats), you might expect him to hit .300 this year. In all reasoning of this kind, your conclusions are established by the evidence with a

