Machines Books

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.

I thought the content was well organized and Harley has good dialogue as he teaches. I actually borrowed this book from a co-worker, but now I am interested in purchasing a copy to keep as a reference.

The author is excellent at explaining confusing concepts and allows you to work at some examples at a resonable pace. Although the 370 is sort of out of date, a lot of the fudementals for assembly programming are discussed in this book.

You may know a lot about the stuff, but here can find the frame where to put everything. A lot of real answers coming from someone that did a great deal of "perspiration" on the issue.

I am an EE that needed a refresher course in Assembly Language. This book provided my being able to get back to speed at a very good pace.

quisiera me mandaran un listado de libros sobre robotica

As an apprentice machinist, I have been looking for a book that was up-to-date and something that would show me die-cut, grinders, jigs for my metal work. This is not only the only book I've found, it is full of great illustrations, which helped me on the first job right after I bought the book. Even if you just fiddle around w/metals in your garage, you're going to get a lot out of this book. People told me to look for the name Audel and now I know why.

Part of the Audio CD Classics Collection these CDs are great for family listening on the road or at home! Whether you are presenting them to your children or grandchildren or adding them to your personal library, you will enjoy these tales of adventure, intrigue, and excitement as if hearing them for the first time!

In 1983 Lothaire's "Combinatorics on Words" became the definitive resource on the area of stringology. 20 years later, Jean-Paul Allouche and Jeffrey Shallit's "Automatic Sequences" is set to be its heir. Pulling in countless concepts from many seemingly dissimilar disciplines, Allouche and Shallit are successful in bringing them together in an extremely informative and concise way. With detailed chapter notes and an immense bibliography the possible areas of exploration on each topic prove endless. A great resource for everyone from the serious researcher to the casually interested, this text is applicable to almost every area of mathematics and computer science. As the authors put it, "Sequences, both finite and infinite are ubiquitous in mathematics and theoretical computer science." If quality were synonymous popularity then this book will be equally ubiquitous.

This volume is worth it for the opening paper, Steve Abney's brilliant "Statistical methods and linguistics". Reading this paper in Chris Manning's statistical NLP class at CMU changed the way I think about the field. I believe it should be required reading for *linguists*. In my experience, most computational linguists either don't care about mainstream theoretical linguistics, have evaluated it and dismissed it as useless, or have taken on Abney's arguments; the remainder use logic and formal language theory without statistics. I considered myself in that remainder before reading this paper.

Abney argues that Chomsky's original motive for setting up the paradigm of generative grammar though intuited grammaticality judgements was a simple expedient that allowed him to apply the mathematics of his day (automata and formal language theory). Abney dispatches "classical" generative grammar with the finesse that Chomsky showed in dismissing behaviorism. Today, information theory (read Cover and Thomas's excellent book) as applied to natural language (read Manning and Schuetze's excellent book) is the paradigm of choice for the mathematically and computationally savvy linguist.

All in all, anyone who is interested in a scientific approach to linguistics should read Abney's paper.