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Those who employ this analogy tend to do so with casual presumption. They rarely justify it by reference to the actual workings of computers, and they misuse and abuse terms that have clear and established definitions in computer science — established not merely because they are well understood, but because they in fact are products of human engineering. An examination of what this usage means and whether it is correct reveals a great deal about the history and present state of artificial intelligence research. And it highlights the aspirations of some of the luminaries of AI — researchers, writers, and advocates for whom the metaphor of mind-as-machine is dogma rather than discipline.

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Computers, then, have engineered layers of abstraction, each deriving its capabilities from joining together simpler instructions at a lower layer of abstraction. But each layer uses its own distinct concepts, and each layer is causally closed — meaning that it is possible to understand the behavior of one layer without recourse to the behavior of a higher or lower layer. For instance, think about your home or office computer. It has many abstraction layers, typically including (from highest to lowest): the user interface, a high-level programming language, a machine language running on the processor, the processor microarchitecture, Boolean logic gates, and transistors. Most computers will have many more layers than this, sitting between the ones listed. The higher and lower layers will likely be the most familiar to laymen: the user interface creates what you see on the screen when you interact with the computer, while Boolean logic gates and transistors give rise to the common description of the computer as “just ones and zeroes.”

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On the other hand, arguments for strong AI typically describe the lowest levels of the mind in order to assert its mechanical nature. The rhetoric of mechanism pervades the writing of AI believers, who claim again and again that the brain is a machine. In his 2002 book , roboticist Rodney Brooks declares that “the body, this mass of biomolecules, is a machine that acts according to a set of specifiable rules,” and hence that “we, all of us, overanthropomorphize humans, who are after all mere machines.” The mind, then, must also be a machine, and thus must be describable in computational terms just as the brain supposedly is.

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Broadly speaking, a computer is a machine that can perform many different procedures rather than just one or a few. In computer parlance, a procedure is known as an algorithm — a set of distinct, well-defined steps. Suppose, for example, that you work in an office and your boss asks you to alphabetize the books on his shelf. There are many ways you could do it. For example, one approach would be to look through all of the books and find the first alphabetically (say, Aesop’s Fables), and swap it with the first book on the shelf. Then look through the remaining unsorted books again, find the next highest, and swap it with the book after Aesop’s Fables. Keep going until you have no unsorted books left. This procedure is known as “selection sort” because the approach is to select the highest unsorted book and put it with the sorted books.