DESCRIPCIÓN DEL TEXTO This book offers students and Artificial Intelligence programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of Artificial Intelligence are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional Artificial Intelligence concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms , a different approach is needed. This “sensor / algorithm / effecter” approach grounds the algorithms with an environment, helps students and Artificial Intelligence practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming , intelligent agents , neural networks , artificial immune systems , and more.
Este libro ofrece a los estudiantes y programadores una nueva perspectiva en el estudio de los conceptos de la Inteligencia Artificial . Se presentan tópicos y teoría de la Inteligencia Artificial , pero también se incluye información práctica.
TABLA DE CONTENIDO Chapter 1. The history of AI
Chapter 2. Uninformed Search
Chapter 3. Informed Search
Chapter 4. AI and games
Chapter 5. Knowledge representation
Chapter 6. Machine learning
Chapter 7. Evolutionary computation
Chapter 8. Neural Networks I
Chapter 9. Neural Networks II
Chapter 10. Robotics and AI
Chapter 11. Intelligent Agents
Chapter 12. Biologically Inspired and Hybrid Models
Chapter 13. The languages of AI
Index
CARACTERÍSTICAS DE LA DESCARGA Título: Artificial Intelligence A Systems Approach
Autor: M. Tim Jones
Idioma: Inglés
Año de Publicación: 2008
Edición: Primera
Número de Páginas: 498
Formato: .pdf
Peso del Archivo: 8 MB
Compresor de Archivos: ZIP
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