April 1998
Beginner
513 pages
14h 32m
English
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Preface
This introductory textbook employs a novel perspective from which to view topics in artificial intelligence (AI). I will consider a progression of AI systems or “agents,” each slightly more complex than its predecessor. I begin with elementary agents that react to sensed properties of their environments. Even such simple machines allow me to treat topics in machine vision, machine learning, and machine evolution. Then, by stages, I introduce techniques that allow agents to exploit information about the task environment that cannot be immediately sensed. Such knowledge can take the form of descriptive information about the state of the environment, iconic models of the environment, state-space graphs, and logical representations. Because ...
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