engineering e-books: 06/18/07

Artificial Cognition Systems

Product Description
Artificial Cognition Systems presents recent research efforts in artificial intelligence about building artificial systems capable of performing cognitive tasks. Such study relies on modeling and simulating cognitive processes and therefore constructs experimental labs to evaluate hypothesis and theories about cognition. Artificial Cognition Systems offers contributions from researchers with different backgrounds applying diverse perspectives in cognitive processes modeling and simulation, and brings forth an important and open discussion in artificial intelligence: how cognitive processes can be meaningful to artificial systems.
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Competitive Intelligence

Competitive Intelligence: A Guide for Your Journey to Best-practice Processes
by Farida Hasanali, Paige Leavitt et al. ISBN:1928593968
APQC © 2004 (81 pages)
Based on APQC's seven years of benchmarking research on competitive intelligence, this straightforward guidebook also details best practices in coordinating actionable intelligence
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Artificial Intelligence and Molecular Biology

Book Description
The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book.
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Quality Measures in Data Mining

Quality Measures in Data Mining (Studies in Computational Intelligence)
Hardcover: 313 pages
Publisher: Springer; 1 edition (February 2007)
Language: English
ISBN-10: 3540449116
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Advances in Applied Artificial Intelligence

Book Description
Whether any one technology will prove to be the central one in creating artificial intelligence, or whether a combination of technologies will be necessary to create an artificial intelligence is still an open question, so many scientists are experimenting with mixtures of such techniques. In Advances in Applied Artificial Intelligence these questions are implicitly addressed by scientists tackling specific problems which require intelligence in both individual and combinations of specific artificial intelligence techniques.
Advances in Applied Artificial Intelligence includes extensive references within each chapter which an interested reader may wish to pursue. Therefore, this book can be used as a central resource from which major avenues of research may be approached.
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Reasoning About Knowledge

Reasoning About Knowledge
by Ronald Fagin, Joseph Y. Halpern, Yoram Moses and Moshe Y. Vardi ISBN:0262562006
The MIT Press © 2003 (517 pages)
This book provides a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory, as well as reasoning about the knowledge of agents who reason about the world.

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Artificial Intelligence: Modern Approach

Artificial Intelligence: Modern Approach
by Stuart J. Russell, Peter Norvig

Artificial Intelligence: A Modern Approach introduces basic ideas in artificial intelligence from the perspective of building intelligent agents, which the authors define as "anything that can be viewed as perceiving its environment through sensors and acting upon the environment through effectors." This textbook is up-to-date and is organized using the latest principles of good textbook design. It includes historical notes at the end of every chapter, exercises, margin notes, a bibliography, and a competent index. Artificial Intelligence: A Modern Approach covers a wide array of material, including first-order logic, game playing, knowledge representation, planning, and reinforcement learning.