From Book News, Inc.
Already in its fifth edition, thanks to artificial intelligence (AI) being one of the most volatile fields in computer science, this text is designed for the classroom as well as a reference tool. Luger (computer science, linguistics, and technology, U. of New Mexico) describes the aspects of AI, including representation and search (including the predicate calculus, and heuristic and stochastic search methods), representation and intelligence (including knowledge-intensive and strong methods), machine learning (symbol- based, connectionist, social and emergent), problem solving (automated reasoning and natural language), language and programming techniques, and a closing essay on AI as empirical inquiry. Luger includes exercises and references for each chapter.Copyright © 2004 Book News, Inc., Portland, OR
Book Description
The fifth edition of this book continues to provide a balanced perspective on the language schools, theories, and applications of artificial intelligence. These diverse branches are unified through detailed discussions of AI's theoretical foundations. The book is broken down into six parts to provide readers complete coverage of AI. It begins by introducing AI concepts, moves into a discussion on the research tools needs for AI problem solving, and then demonstrates representations for AI and knowledge-sensitive problem solving. The second half of the book offers an extensive presentation of issues in machine learning, continues presenting important AI application areas, and presents Lisp and Prolog to the reader. This book is appropriate for programmers both as an introduction to and a reference of the theoretical foundations of artificial intelligence.
Book Info
(Pearson Education) Textbook in artificial intelligence, touching on several levels of structures and strategies for complex problem solving. Shows how to use the numerous software tools and techniques for problem solution. For computer scientists. Previous edition not cited.
Artificial Intelligence: Structures and Strategies for Complex Problem Solving FROM THE PUBLISHER
Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one or two semester university course on AI, as well as an invaluable reference for researchers in the field or practitioners wishing to employ the power of current AI techniques in their work.
SYNOPSIS
A textbook for a course of one or two semesters for students who have completed courses in discrete mathematics, including predicate calculus and introductory graph theory; and data structures, including trees, graphs, and recursion-based search, using stacks, queues, and priority queues. The first edition appeared in 1997; the forth acknowledges the growing importance of agent-based problem solving in artificial intelligence technology. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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