Principles of Artificial Intelligence Review and Exam Guidance

Author: Zhang Yangsen
Publisher:
Publish Date: 2004-03-01
Features: This book is written based on the content of the "Artificial Intelligence Principles" examination syllabus from the "Comprehensive National Unified Examination Syllabus and Guide for Master's Degree Application by in Computer Science and Technology (Second Edition)" organized by the State Council Academic Degrees Committee. The book is divided into eight chapters, including the basic concepts and development status of artificial intelligence, knowledge representation methods, resolution reasoning methods, uncertain reasoning methods, state space search strategies, machine learning, natural language understanding, and neural networks and genetic algorithms. Each chapter provides numerous examples and exercises, along with reference answers to the exercises. This book can serve as a review and study guide for the Comprehensive National Unified Examination in Computer Science and Technology, as well as a teaching reference or self-study book for undergraduate or graduate students in science and engineering disciplines learning "Artificial Intelligence Principles." It can also be used as a reference for individuals preparing for other examinations.