It does so: Review of The Mind Doesn't Work That Way: The Scope and Limits of Computational Psychology
AI Magazine 22 (4):141-144 (2001)
| Abstract | Objections to AI and computational cognitive science are myriad. Accordingly, there are many different reasons for these attacks. But all of them come down to one simple observation: humans seem a lot smarter that computers -- not just smarter as in Einstein was smarter than I, or I am smarter than a chimpanzee, but more like I am smarter than a pencil sharpener. To many, computation seems like the wrong paradigm for studying the mind. (Actually, I think there are deeper and darker reasons why AI, especially, is so often the brunt of polemics, see Dietrich, 2000.) But the truth is this: AI is making exciting progress, and will one day make a robot as intelligent as a person; indeed the robot will be conscious. And all this is because of another truth: the computational paradigm is the best thing to come down the pike since the wheel | |||||||||
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Lee Spector (2002). Hierarchy Helps It Work That Way. Philosophical Psychology 15 (2):109-117.
Daniel A. Weiskopf (2002). On Fodor's The Mind Doesn't Work That Way. Philosophical Psychology 15 (4):551-562.
Robert A. Wilson (2005). What Computers (Still, Still) Can't Do: Jerry Fodor on Computation and Modularity. Canadian Journal of Philosophy Supp 30:407-425.
Robert A. Wilson (2008). What Computers (Still, Still) Can't Do: Jerry Fodor on Computation and Modularity. In Robert J. Stainton (ed.), New Essays in Philosophy of Language and Mind.
Eric Dietrich (2001). It Does So. [REVIEW] AI Magazine 22 (4):141-144.
Eric Dietrich (2001). It Does So: Review of Jerry Fodor, The Mind Doesn't Work That Way. [REVIEW] AI Magazine 22 (4):121-24.
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