Artificial Intelligence: Theory and Practice (Original Version): Theory and Practice (English Version)

Author: James Allen
Publisher:
Publish Date: 2003-06-01
Features: This book is a textbook that elaborates on the fundamental theories and practical applications of artificial intelligence, meticulously compiled by three seasoned AI experts. Addressing the emerging expression and computation issues in the development of machine intelligence systems, the book introduces new research findings and discusses practical problems encountered in system implementation. The authors delve into traditional symbolic reasoning techniques for solving learning, planning, and uncertainty problems, as well as new technologies such as neural networks and probabilistic reasoning. Important algorithms appearing in each chapter are accompanied by their LISP implementation source code for reference. The book also includes analyses of some expression problems from the perspectives of syntax, semantics, and computational complexity. Consistent real-world examples demonstrate the applications of AI systems in robotics, manufacturing, and computer software. Comprehensive chapters on natural language, learning, planning, and uncertainty integrate existing methods and future development directions.