In this broad and provocative collection of original essays on artificial intelligence today, eighteen distinguished scholars set out to explain why and how certain discoveries about the human brain have or have not been used by the AI community, and whether the AI endeavor has increased out, understanding of human cognition. Their exploration focuses on the many controversies and debates that continue to vitalize the field. Contributors Jack D. Cowan, Daniel C. Dennett, Hubert L. Dreyfus, Stuart E. Dreyfus, Gerald M. Edelman, W. Daniel Hillis, Anya Hurlbert, John McCarthy, Pamela McCorduck, Seymour Papert, Tomaso Poggio, Hilary Putnam, George N. Reeke Jr, Jacob T. Schwartz, David H. Sharp, Robert Sokolowski, Sherry Turkle, and David L. Waltz
If you want to understand the fundamental issues related to the issue of artifical intelligence, especially relating to the war between the formal systems advocates and the neural network folks, this book is invaluable. It is a collection of compelling essays by some of the brightest and/or most lauded researchers in the field.One essay rips apart the seams of the phenomological challenges of making a generally intelligent system and explained why (in 1988) that the attempt was doomed to failure, at least for the foreseable future.The sad fact is, there are still people like Steven Pinkert who continue to repeat the "Symbol System Hypothesis" with religious fervor. If you read and understand Hubert and Stuart Dreyfus's essay "Making a mind vs Modeling a Brain" you will come to understand why Artificial Intelligence has failed its promise for more than 30 years and why it is such an incredibly difficult problem to solve.
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