Reading Guide To AI Design & Neural Networks?

Posted by kdawson on Monday December 1, 2008 @10:49PM from the open-the-library-doors-hal dept.

Raistlin84 writes "I'm a PhD student in theoretical physics who's recently gotten quite interested in AI design. During my high school days, I spent most of my spare time coding various stuff, so I have a good working knowledge of some application programming languages (C/C++, Pascal/Delphi, Assembler) and how a computer works internally. Recently, I was given the book On Intelligence, where Jeff Hawkins describes numerous interesting ideas on how one would actually design a brain. As I have no formal background in computer science, I would like to broaden my knowledge in the direction of neural networks, pattern recognition, etc., but don't really know where to start reading. Due to my background, I figure that the 'abstract' theory would be mostly suited for me, so I would like to ask for a few book suggestions or other directions."

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PDP by kahizonaki · 2008-12-01 22:56 · Score: 5, Informative

Parallel Distributed Processing (both books) by Rumelhart, McClelland, and the PDP research group, 1986. "THE" classic neural network resource--and still somewhat relevant.
The Resistance by Anonymous Coward · 2008-12-01 23:00 · Score: 5, Funny

Due to the possibility of a robot army rising up, I refuse to help.
AIMA by omuls+are+tasty · 2008-12-01 23:01 · Score: 5, Informative

Artificial Intelligence: A Modern Approach by Rusell and Norvig is more or less the standard AI textbook and the book I'd suggest to get an overview of AI and its different methodologies. Mind you, it's over 1000 pages, but a very interesting read.