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Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th Edition)
Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th Edition) by George F. Luger
Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th Edition) Author: George F. Luger
Title: Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th Edition)
ISBN: 0201648660
ISBN13: 978-0201648669
Other Formats: azw txt lrf doc
Pages: 880 pages
Publisher: Addison Wesley; 4 edition (July 30, 2001)
Language: English
Category: Computers & Technology
Size PDF version: 1495 kb
Size EPUB version: 1800 kb
Subcategory: Computer Science




Artificial intelligence (AI) began as the quest to create machines that could think for themselves and (perhaps) out-think humans: the holy grail of computing! Over the years, while still exploring the mechanisms that enable thought, AI has evolved into a more pragmatic discipline. AI uses different strategies to solve the complex practical problems that present themselves wherever computing technology is applied. And intelligence itself is now known to be too complex to be described by any single theory - instead, a constellation of theories characterize the subject from different levels of abstraction. At the lowest levels, neural networks, genetic algorithms and other forms of computation aid understanding of adaptation, perception, embodiment, and interaction with the physical world. On a more abstract level, designers of expert systems, intelligent agents, stochastic models, and natural language understanding programs reflect the role of knowledge and social processes in creating, transmitting and sustaining knowledge. Further, logicians propose deduction, abduction, induction, truth-maintenance, and other models and modes for reasoning. In this fourth edition, George Luger touches on all these levels of structures and strategies for complex problem solving, as well as conveying excitement for the study of intelligence itself. He shows how to use many different software tools and techniques for addressing the complex problems that challenge the modern computer scientist.