give me a summary about this text book George F. Luger “Artificial Intelligence Structures and Strategies for Complex Problem Solving" Addison Wesley

"Artificial Intelligence: Structures and Strategies for Complex Problem Solving" by George F. Luger is a comprehensive textbook that provides an in-depth exploration of the field of artificial intelligence (AI). The book is structured to cover a wide range of AI topics, including problem-solving methods, knowledge representation, game playing, machine learning, natural language understanding, and robotics.

The book begins with an introduction to AI and its history, followed by a detailed discussion on problem-solving strategies such as search algorithms, heuristics, and constraint satisfaction problems. It then delves into knowledge representation and reasoning, covering topics like propositional and predicate calculus, frames, semantic networks, and scripts.

The middle sections of the book focus on game playing and machine learning. In the game playing section, Luger discusses strategies for games like chess and checkers, including minimax and alpha-beta pruning. The machine learning section covers various learning methods, including decision trees, neural networks, genetic algorithms, and reinforcement learning.

The latter part of the book is dedicated to natural language understanding and robotics. It explores how AI can be used to understand and generate human language, and how it can be applied to control robotic systems.

Throughout the book, Luger emphasizes the importance of structures and strategies in solving complex problems in AI. He provides numerous examples and exercises to help readers understand and apply the concepts discussed. The book is written in a clear and accessible style, making it suitable for both beginners and advanced students in the field of AI.