I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...) the question, "Can machines think?" is to be sought in a statistical survey such as a Gallup poll. But this is absurd. Instead of attempting such a definition I shall replace the question by another, which is closely related to it and is expressed in relatively unambiguous words. The new form of the problem can be described in terms of a game which we call the 'imitation game." It is played with three people, a man (A), a woman (B), and an interrogator (C) who may be of either sex. The interrogator stays in a room apart front the other two. The object of the game for the interrogator is to determine which of the other two is the man and which is the woman. He knows them by labels X and Y, and at the end of the game he says either "X is A and Y is B" or "X is B and Y is A." The interrogator is allowed to put questions to A and B. We now ask the question, "What will happen when a machine takes the part of A in this game?" Will the interrogator decide wrongly as often when the game is played like this as he does when the game is played between a man and a woman? These questions replace our original, "Can machines think?". (shrink)

Much as we would like to conceive empirical thought as rationally grounded in experience, pitfalls await anyone who tries to articulate this position, and ...

What would something unlike us--a chimpanzee, say, or a computer--have to be able to do to qualify as a possible knower, like us? To answer this question at the very heart of our sense of ourselves, philosophers have long focused on intentionality and have looked to language as a key to this condition. Making It Explicit is an investigation into the nature of language--the social practices that distinguish us as rational, logical creatures--that revises the very terms of this inquiry. Where (...) accounts of the relation between language and mind have traditionally rested on the concept of representation, this book sets out an alternate approach based on inference, and on a conception of certain kinds of implicit assessment that become explicit in language. Making It Explicit is the first attempt to work out in detail a theory that renders linguistic meaning in terms of use--in short, to explain how semantic content can be conferred on expressions and attitudes that are suitably caught up in social practices. -/- At the center of this enterprise is a notion of discursive commitment. Being able to talk--and so in the fullest sense being able to think--is a matter of mastering the practices that govern such commitments, being able to keep track of one’s own commitments and those of others. Assessing the pragmatic significance of speech acts is a matter of explaining the explicit in terms of the implicit. As he traces the inferential structure of the social practices within which things can be made conceptually explicit, the author defines the distinctively expressive role of logical vocabulary. This expressive account of language, mind, and logic is, finally, an account of who we are. (shrink)

The aim of philosophy, abstractly formulated, is to understand how things in the broadest possible sense of the term hang together in the broadest possible sense of the term. Under 'things in the broadest possible sense' I include such radically different items as not only 'cabbages and kings', but numbers and duties, possibilities and finger snaps, aesthetic experience and death. To achieve success in philosophy would be, to use a contemporary turn of phrase, to 'know one's way around' with respect (...) to all these things, not in that unreflective way in which the centipede of the story knew its way around before it faced the question, 'how do I walk?', but in that reflective way which means that no intellectual holds are barred. (shrink)

Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence. According to an article in The New York Times, the course on artificial intelligence is (...) “one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.” One of the other two courses, an introduction to database software, is being taught by Pearson author Dr. Jennifer Widom. Artificial Intelligence: A Modern Approach, 3e is available to purchase as an eText for your Kindle™, NOOK™, and the iPhone®/iPad®. (shrink)

Luciano Floridi develops the first ethical framework for dealing with the new challenges posed by Information and Communication Technologies. He establishes the conceptual foundations of Information Ethics by exploring important metatheoretical and introductory issues, and answering key theoretical questions of great philosophical interest.

In “Knowledge and the Internal” John McDowell presents a deep and interesting argument. I think everything he says is true and important. Still, there are a number of points that bear expanding on in order to be properly understood. So I want to say something about his point of departure: the idea of standings in the space of reasons. And I want to fill in further the picture at which he finally arrives, by saying how I think we ought to (...) understand knowledge as a standing in the space of reasons, once we have freed ourselves from a prevalent deformed conception of that space. McDowell’s strategy is to show that that conception of the space of reasons is inadequate—that it deserves to be called a ‘deformation’—by showing that it leaves no room for anything recognizable as knowledge. I’ll try to reconstruct that argument by showing what it looks like in the context of a crucial dimension of the space of reasons that McDowell never mentions: its essentially social articulation. The effect of this supplementation, I think, is not to turn a bad argument into a good one, but to turn what is already a good argument into one that further illuminates the phenomena with which it deals. (shrink)

In “Knowledge and the Internal” John McDowell presents a deep and interesting argument. I think everything he says is true and important. Still, there are a number of points that bear expanding on in order to be properly understood. So I want to say something about his point of departure: the idea of standings in the space of reasons. And I want to fill in further the picture at which he finally arrives, by saying how I think we ought to (...) understand knowledge as a standing in the space of reasons, once we have freed ourselves from a prevalent deformed conception of that space. McDowell’s strategy is to show that that conception of the space of reasons is inadequate—that it deserves to be called a ‘deformation’—by showing that it leaves no room for anything recognizable as knowledge. I’ll try to reconstruct that argument by showing what it looks like in the context of a crucial dimension of the space of reasons that McDowell never mentions: its essentially social articulation. The effect of this supplementation, I think, is not to turn a bad argument into a good one, but to turn what is already a good argument into one that further illuminates the phenomena with which it deals. (shrink)