Structure and Strategies for Solving Complex Problems in Artificial Intelligence

Author: Luger,
Publisher:
Publish Date: 2005-09-01
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, St. Mary's College of Maryland, Michigan Technological University, Mississippi State University, and Portland State 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 domains, the AI programming languages LISP and PROLOG, and more. It discusses the possibilities of intelligent systems science, as well as the challenges and current limitations of AI, and explores the future of artificial intelligence. The algorithms in this book are described using a Pascal-like pseudocode, making them clear and easy to read. Reading this book requires students to have completed a discrete mathematics course, including basic knowledge of predicate calculus and graph theory, as well as a data structures course, including trees, graphs, recursive search, and the use of stacks, queues, and priority queues.