Introduction To Artificial Intelligence

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Alpha Beta Pruning
Augmented Transition Networks
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Blackboard Architecture
Branching Factor
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Cellular Automata
Certainty Factors
Constraint Satisfaction
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Expert System
Expert System Shell
Game Tree
Hold
Knowledge Acquisition
Knowledge Elicitation
Knowledge Engineer
Knowledge Representation Scheme
Kohonen’s Self-organizing Network
Magic Square
Minimax Algorithm
Multi-layer Perceptron
Parse Tree
Physical Symbol System Hypothesis
Production System Models
Software Agents
Template Matching
Vice Versa

Product details

  • ISBN 9781857283990
  • Weight: 380g
  • Dimensions: 156 x 234mm
  • Publication Date: 27 Jun 1996
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of artificial intelligence, it examines the central computational techniques employed by AI, including knowledge representation, search, reasoning, and learning, as well as the principal application domains of expert systems, natural language, vision, robotics, software agents and cognitive modeling. Many of the major philosophical and ethical issues of AI are also introduced.

Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. The authors bring this exciting field to life by presenting a substantial and robust introduction to artificial intelligence in a clear and concise coursebook form. This book stands as a core text for all computer scientists approaching AI for the first time.

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