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| This is a list of AI related books with some comments and outlines that I think are important. I am always looking for a good AI book to read. Please send me an e-mail if you have any suggestions to: toandrey(at)yahoo(dot)com Must have books:On IntelligenceAuthor: Jeff Hawkings / Sandra Blakeslee Reading it now. Looks very promising: makes you think about different aspects of AI, shows all the pitfals AI researchers fall into. Easy to read. Some interesting facts about author's life. Covers important points: time, feedback, architecture and how they might affect the system. Review of Medical Phisiology Author: William F. Ganong 18th Edition Must read pages 50-250. This book explains everything starting from the nerve tissue description up to sound and visual perception. This book is meant for medical students so there is no philosophical bullshit just straight facts about human physiology. A universe of consciousness Author: Gerald M Edelman / Giulio Tononi This book opens up your mind to the whole new world. It asks many questions and gives many answers. The style of the book is very unortodox. You will not see any math here. The book tries to create a complete system of reasoning by exploring psychological, physiological and philosophical aspects of the problem. The Astonishing Hypothesis, The Scientific Search for the Soul Francis Crick The Book is about visual perception. There is a lot of data - I would have to say this is one of the most informative books I have read so far, yet it is very easy to read. Some information in this book is about the structure of the brain and neurons is not found in the other books I have read. Each chapter represents a different approach or an angle of view on figuring out how the brain persieves visual stimula and responds to it. Chapters 10 & 11 are a bit boring but other than that you won't be able to stop reading. Synch - The emerging Science of Spontaneous Order Author: Steven Strogatz Synch helps you understand the reasons behind order emerging from chaos. Strogatz does not talk much about AI, A-life or Genetic algorithms but there is a very good explanation of "small world networks" which I consider very very important. Flesh and Machines - How Robots will change us Author: Rodney A. Brooks First 4 chapters are owesome! But the rest of the book runs out of steam. Cambrian Intelligence - The early history of the new AI Author: Rodney A. Brooks Collection of Rodney Brooks published papers - you can get the papers 4 free but I just had to have the book! Without this book you will not see the other side of the moon. There are no lenghty formulas or statistical analysis to look through in this book. It is written in a simple language but I don't think most people can understand what Brooks is talking about hence there is not much research going on in this direction outside of MIT. Brooks is the father of the new AI but he's cornered by the use of his state machines. There has to be another paradigm! Artificial Life Author: Steven Levy This book tells you everything there is to know about A-life! From genetic algorithms to cellular automata. Easy reading not cluttered with a lot of math. Neural Networks Author: R. Rojas This is a classic NN book - probably all you need to know about CLASSIC NN. From what I remember it does not cover things such as temporal NN etc... NOT(Must have books):Synaptic Self - How Our Brains Become Who We AreAuthor: Joseph LeDoux Boring Boring Boring: First chapter is ok. Second chapter is the most boring thing I have NOT read completely in my life. Chapters 3 and 4 are somewhat interesting but I have run out of steam on chapter 5 - this book is going back on the book shelf. Artificial Intelligence - A new Synthesis Author: (Nils J. Nilsson) Artificial Minds Author: Stan Franklin Foundations of Real World Intelligence Author: Yoshinori Uesaka / Pentti Kanerva / Hideki Asoh Japanese overcomplicate things. AI is not rocket sience - a 10 year old should be able to understand some concepts. I could not understand a thing and I am not a 10 year old - this is not for an average amature. I don't think this was meant to be a book but a collection of papers for presentations at an AI convention. But hey, you have to justify all those robotics research funds. Understanding Artificial Intelligence Author: from the editors of Scientific American with foreword of Rodney Brooks Just a bunch of papers. The book is not really worth buying but if you can read it in the library, it might give you an idea or two. Introduction to artificial Intelligence Author: Philip C. Jackson Jr. After Thought - the computer challenge to human intelligence Author: James Bailey The Origin of species Author: Charles Darwin I have not read it yet, but it might shine some light and it will definitely be entertaining. An Introduction to Formal languages and Automata Author: Linz Second Edition This is one of those books that is hard to read on your own but you need to know automata theory or at least what state machines and formal languages are. Logic and Discrete mathematics A computer science perspective Author: Grassman/Tremblay Elementary Applied Symbolic Logic Author: Bangs L. Tapscott Second Edition Fuzzy Thinking - The new science of fuzzy logic Author: Bart Kosko I have not read this book completely yet. Just a couple of chapters Impossibility - The limits of science and the Science of limits Author: John D. Barrow The book is not about AI but it teaches you about general principles of "information aquizition" what is possible to know and what is not, general methods on how we can find out some things etc... The New Turing Omnibus - 66 Excursions in Computer Science Author: A.K.Dewdney Not AI related directly, but Has some info about Gegle's(misspelled) Theorem. Fundamentals of Algorithmics Author: Ailles Brassard / Paul Bratley Hmm... just straight algorithms ... makes you think about stuff. Computer Science - An Overview Author: J.Glenn Brookshear Fourth Edition |
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