Artificial Intelligence Books

I read a lot of papers from this book. And I read twice and twice a lot of them. This is a book to the professional and to the novice in data mining (d.m.). In it you take a general view from data mining and the particular one you pretend because you can see papers from "what is d.m.", "how to use d.m.", "d.m. techniques", "d.m. and visualization", "applications from d.m.", "d.m. tools", "advances in d.m.", "the future and d.m.".

I find this book very informative yet uptodate if you want to know what are the recent advances in machine learning field of research. The topics presented are very insteresting and easy to read and understand.

This book is an excellent reference book on evolutionary design of intelligent agents. It is a welcome addition to the growing body of literature on intelligent agents in general, and evolutionary approaches to synthesis of such agents in particular. One of the editors, Professor Honavar, as amply demonstrated by his other publications, has the rare ability to interrelate an amazing diversity of perspectives on Artificial Intelligence - from symbolic methods to neural networks and evolutionary apporaches, to uncover the shared principles and common foundations, and show how different paradigms can be brought together in synergistic ways to advance our ability to design and analyze intelligent systems. This book includes chapters written by some of the leading experts in the field. The first chapter provides an excellent introduction to the topic. The rest of the chapters provide a veritable feast of material ranging from design of sensory systems for robots to current research on design of software agents. Most of the chapters, although they describe some of the latest research in this area, are written in a style that is accessible to even an interested layperson. (My 15 year old daughter has enjoyed reading several chapters). The book should be especially useful as a reference to graduate students and researchers interested in artificial intelligence, machine learning, evolutionary computation, software agents, and computational evolutionary biology. It should also be useful as supplementary reading for a graduate or upper level undergraduate course on evolutionary computation, computational intelligence, or a related area or as a primary text for a seminar course. I recommend this book enthusiastically to everyone who is interested in the science and engineering of intelligent agents.

Sometimes I read because I want to feel happiness, or sadness, or that mix of fearful excitement and untainted friendship that makes you and your childhood buddies return to your hometown to fight an epic battle against a shapeshifting clown. Yes, sometimes I long for a world less unreal than the one we are living in. Other times I want to be part of a history that never was, or of a future that never will be. And sometimes I'm just curious how life looks through the eyes of a sex-addict med-school dropout who is a direct descendant of Jesus Christ.

These longings are quickly satisfied and, once I'm halfway through a book and too tired to read on, there is little incentive for me to pick it up again. The shelves of my local library are filled with millions of pages depicting everyday life, stereotyped, dramatized, neatly packaged and sent to a world slightly differing in time, space and causality. Because that's what we want, and, web designers and capitalists agree, what we want is what we get.

Some writers, however, take you to places that are so much larger than everyday life that you cannot but notice the peculiarities of the context you live in. The patterns inherent in the seemingly incessant flow of human life suddenly stick out in all their lovely absurdity and childish predictability. If you are going to read only two stories of this kind in your life and if you are already done with Permutation City, do yourself a favor and make Simon Funk's After Life your next Saturday evening read.

It should come as no surprise to anyone in business that ripples in the supply chain can grow to tidal waves before they reach the bottom line. One example: an 18 strike at a brake supplier stopped production in 26 General Motors plants. Today everyone wants to minimize inventory, going to some form of Just-In-Time (JIT) delivery of components. This means that the potential for greater disruption of the manufacturing process grows with the shortness of the reserve for delayed delivery.

In this book the author has developed an autonomous, reactive/proactive agent that then has the ability to communicate with other agents or humans. This agent(a computer program of a special type) is developed for event management to maintain an almost continuous check on the supply line. This book uses a theoretical approach and does not provide actual code.

Ringwood and Huntbach were my professors in graduate school. They taught us a course titled Multi Agent Systems. Much of the areas covered in those lectures find their way in this superb account on AI programming.

The first few chapters are accessible to readers without a strong AI background. The material gets more involving as we go through the book.

Interestingly, the book develops the idea of 'agent-oriented' programming chronologically from the the days preceeding the Fifth generation project to present day multi-agent technologies.

I would highly recommend the book to all AI students, researchers and practitioners.

Dr. Howard has written an excellent overview of the concept of intelligence. He covers human intelligence, including recent definitions, testing, and education. His chapter on testing I found most interesting since he discusses the most popular tests and their limitations. There is an excellent section on gifted children. The sections on animal and artificial intelligence is fairly sweeping, but he does present the main ideas very clearly. I found this book very easy to read and enjoyable.

Some books entertain, some inform; some confirm what you already knew, some make you change your mind about something. But then there are some books that just make you think "wow! I wish I'd written that".

For me, Charles Petzold's The Annotated Turing falls into that last category (as well, of course, as the informational category). It's a book worth reading not only for the topic itself but the way it's presented.

Petzold provides the necessary background before working through Turing's famous 1936 paper "On computable numbers, with an application to the Entscheidungsproblem" with rich annotations at every stage, including biographical details.

If you are interested in the foundation of mathematics, computability, Turing's work, or even just ways of explaining mathematics in a historical context, I highly recommend this book.

The first two parts of this 3-part book are a collection of monographs and essays on software quality management and certification and testing topics. The third part is devoted to software quality and testing tools.

Since I am more interested in processes and techniques I focused more on the first two parts, which were truly state-of-the-art with respect to subject matter and approach.

Among Part I's highlights were the essays on knowledge and quality management, and cost benefit models for quality assurance. Other essays (paradigms of software quality management and software development, and process-oriented software quality management) were well written and filled with original thinking, but this ground has been covered by so many authors that my interest waned.

Part II, Certification and Testing, had an excellent essay on testing web and e-business applications that I particularly liked. If you are in the embedded or safety-critical development and QA environment, the essay on certifying and testing these systems is definitely worthwhile.

This 288 page book is copiously illustrated with 99 figures and 14 tables. If you are looking for a book on software testing this is not it. It is best suited for advanced SQA practitioners and academics. If you are among that group it is a worthwhile read and will give you fresh ideas and keep you up-to-date in your professional reading. For the audience I cited it is a five star book and highly recommended.

This is a very very interesting book that provides different applications of fuzzy logic for building intelligent machines. Special attraction of the book is the application of fuzzy tools in mobile robotics for sensory uncertainty management, path planning and navigation. The book is highly readable and requires a little backgrond of fuzzy sets and systems. The book is useful for practitioners of fuzzy sets, robotics and intelligent systems in general.I believe that the readers will enjoy reading this book.