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Artificial Intelligence,A Modern Approach
Artificial intelligence: A Modern Approach, 3e,is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. It is also a valuable resource for computer professionals, linguists, and cognitive scientists interested in artificial intelligence. The revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.
by Stuart Jonathan Russell
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Artificial Intelligence,Foundations of Computational Agents
Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture. The book balances theory and experiment, showing how to link them intimately together, and develops the science of AI together with its engineering applications. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers, and independent learners. AI is a rapidly developing field: this book encapsulates the latest results without being exhaustive and encyclopedic. The text is supported by an online learning environment, AIspace, http://aispace.org, so that students can experiment with the main AI algorithms plus problems, animations, lecture slides, and a knowledge representation system, AIlog, for experimentation and problem solving.
by David L. Poole
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Artificial Intelligence for Games,
Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques. "Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games).
by Ian Millington
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Paradigms of Artificial Intelligence Programming,Case Studies in Common LISP
Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.
by Peter Norvig
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Artificial Intelligence,
Introduces artificial intelligence, discusses ways scientists use it, and explores the future possibilities.
by Michael C. Harris
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Artificial Intelligence,

by M. Tim Jones
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Our Final Invention,Artificial Intelligence and the End of the Human Era
A documentary filmmaker, bringing together Artificial Intelligence experts from around the world, explores the terrifying possibility of catastrophic outcomes once we share the planet with intelligent machines who are smarter and more powerful than we could ever have imagined. 25,000 first printing.
by James Barrat
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Artificial Intelligence,
AI is an emerging discipline of computer science. It deals with the concepts and methodologies required for computer to perform an intelligent activity. The spectrum of computer science is very wide and it enables the computer to handle almost every activity, which human beings could. It deals with defining the basic problem from viewpoint of solving it through computer, finding out the total possibilities of solution, representing the problem from computational orientation, selecting data structures, finding the solution through searching the goal in search space dealing the real world uncertain situations etc. It also develops the techniques for learning and understanding, which make the computer able to exhibit an intelligent behavior. The list is exhaustive and is applied now a days in almost every field of technology. This book presents almost all the components of AI like problem solving, search techniques, knowledge concepts, expert system and many more in a very simple language. One of the unique features of this book is inclusion of number of solved examples; in between the chapters and also at the end of many chapters. Real life examples have been discussed to make the reader conversant with the intricate phenomenon of computer science in general, and artificial intelligence in particular. The book is primarily developed for undergraduate and postgraduate engineering students.
by Ela Kumar
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Artificial Intelligence,A Guide to Intelligent Systems
Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.
by Michael Negnevitsky
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Foundations of Distributed Artificial Intelligence,
This up-to-date collection of contributions from around the globe examines theoretical principles and practical applications, combines a broad view of the field with detailed examinations of specific research topics, and offers superb coverage at both introductory and advanced levels.
by G. M. P. O'Hare
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INTRODUCTION TO ARTIFICIAL INTELLIGENCE,
This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and expert (knowledge-based) systems and guides them towards a better understanding of the subject. The text begins with a brief introduction to artificial intelligence including application areas, its history and future, and programming. It then deals with symbolic logic, knowledge acquisition, and uncertainty. The text also clearly explains AI technologies such as computer vision, natural language processing, and speech recognition. Finally, it concludes with discussions on expert systems, neural networks, constraint programming, and case-based reasoning. Primarily designed for the postgraduate students of computer science and engineering, master of computer application (MCA), and information technology (IT), this easy-to-read book will also serve as a useful text for the students of B.E./B.Tech. offering courses on artificial intelligence and expert systems.
by RAJENDRA AKERKAR
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Artificial Intelligence,The Very Idea
Presented in non-technical terms, this book explores the relationship between human thinking and machine computing
by John Haugeland
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Artificial Intelligence in Wireless Communications,
This cutting-edge resource offers practical overview of cognitive radio, a paradigm for wireless communications in which a network or a wireless node changes its transmission or reception parameters. The alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment. This book offers a detailed description of cognitive radio and its individual parts. Practitioners learn how the basic processing elements and their capabilities are implemented as modular components. Moreover, the book explains how each component can be developed and tested independently, before integration with the rest of the engine. Practitioners discover how cognitive radio uses artificial intelligence to achieve radio optimization. The book also provides an in-depth working example of the developed cognitive engine and an experimental scenario to help engineers understand its performance and behavior.
by Thomas Warren Rondeau
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Artificial Intelligence Programming,
Artificial intelligence research has thrived in the years since this best-selling AI classic was first published. The revision encompasses these advances by adapting its coding to Common Lisp, the well-documented language standard, and by bringing together even more useful programming tools. Today's programmers in AI will find this volume's superior coverage of programming techniques and easily applicable style anything but common.
by Eugene Charniak
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Artificial Intelligence Illuminated,
Artificial Intelligence Illuminated Presents An Overview Of The Background And History Of Artificial Intelligence, Emphasizing Its Importance In Today'S Society And Potential For The Future. The Book Covers A Range Of AI Techniques, Algorithms, And Methodologies, Including Game Playing, Intelligent Agents, Machine Learning, Genetic Algorithms, And Artificial Life. Material Is Presented In A Lively And Accessible Manner And The Author Focuses On Explaining How AI Techniques Relate To And Are Derived From Natural Systems, Such As The Human Brain And Evolution, And Explaining How The Artificial Equivalents Are Used In The Real World. Each Chapter Includes Student Exercises And Review Questions, And A Detailed Glossary At The End Of The Book Defines Important Terms And Concepts Highlighted Throughout The Text.
by Ben Coppin
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