The consideration of careful reasoning can be traced to Aristotle and earlier authors. The possibility of rigorous rules for drawing conclusions can certainly be traced to the Middle Ages when types of syllogism were studied. Shortly after the introduction of computers, the audacious scientist naturally envisioned the automation of sound reasoning -reasoning in which conclusions that are drawn follow logically and inevitably from the given hypotheses. Did the idea spring from the intent to emulate Sherlock Holmes and Mr. Spock (of Star Trek) in fiction and Hilbert and Tarski and other great minds in nonfiction? Each of them applied logical reasoning to answer questions, solve problems, and find proofs. But can such logical reasoning be fully automated? Can a single computer program be designed to offer sufficient power in the cited contexts? Indeed, while the use of computers was quickly accepted for numerical calculations and data processing, intense skepticism persisted -even in the early 1960s -regarding the ability of computers to apply effective reasoning. The following simple (but perhaps deceptive) example provides a taste of the type of argument that might have been used to support this skepticism.If one is given a puzzle concerning who holds which jobs, is told that the job of nurse is held by a male, and is asked about the possible jobs for Roberta, one quickly concludes that she is not the nurse. How could a computer program rapidly draw this correct conclusion? After all, the computer would not know that Roberta is (implicitly) female, and, of greater usefulness, it would not know that being a female implies that one is not a male. In fact, even a person often does not realize that the latter fact is used in drawing the correct conclusion for this puzzle. Since the answering of deep questions and the solving of hard problems require far more lengthy paths of reasoning, where do things stand today regarding the automation of drawing conclusions that are sound and relevant, and what is the contemporary view concerning this effort?In answer to the latter question, still debated with vigor and fascination is the value of automation both in the context of inference rule application for drawing conclusions and in the context of useful proof finding, whether the area be mathematics, logic, circuit design, program verification, or puzzle solving. This essay may settle the issue