Artificial Intelligence: Structures and Strategies for Complex Problem Solving (English Version · 4th Edition)

Author: George F. Luger
Publisher:
Publish Date: 2003-05-01
Features: This is a classic textbook on artificial intelligence, adopted by prestigious universities such as Pennsylvania State University, University of Southern California, University of Maryland, Duke University, Brown University, and George Mason University as the designated textbook for AI courses. The book introduces the history and applications of artificial intelligence (AI), covering research tools for AI problem-solving, representations for AI and knowledge-intensive problem-solving, machine learning, important AI application areas, and AI programming languages LISP and PROLOG. It concludes by discussing the possibilities of intelligent systems science, considering the challenges currently faced by AI, exploring the limitations of AI today, and envisioning the future of AI. The algorithms in this book are described using pseudocode similar to Pascal, which is clear and easy to read. Reading this book requires students to have completed a discrete mathematics course, including predicate calculus and an introduction to graph theory, as well as a data structures course covering trees, graphs, recursive search, and the use of stacks, queues, and priority queues.