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Artificial Intelligence : Structures and Strategies for Complex Problem Solving by George F. Luger, William A. Stubblefield, LUGER, Stubblefield is a nonfiction available to read on EtoBox.

What is Artificial Intelligence : Structures and Strategies for Complex Problem Solving about?

Combines the theoretical foundations of intelligent problem-solving with he data structures and algorithms needed for its implementation. The book presents logic, rule, object and agent-based architectures, along with example programs written in LISP and PROLOG. The practical applications of AI have been kept within the context of its broader goal: understanding the patterns of intelligence as it operates in this world of uncertainty, complexity and change. The introductory and concluding chapters take a new look at the potentials and challenges facing artificial intelligence and cognitive science. An extended treatment of knowledge-based problem-solving is given including model-based and case-based reasoning. Includes new material on: Fundamentals of search, inference and knowledge representation AI algorithms and data structures in LISP and PROLOG Production systems, blackboards, and meta-interpreters including planers, rule-based reasoners, and inheritance systems. Machine-learning including ID3 with bagging and boosting, explanation based learning, PAC learning, and other forms of induction Neural networks, including perceptrons, back propogation, Kohonen network

Who reads Artificial Intelligence : Structures and Strategies for Complex Problem Solving?

Author

George F. Luger, William A. Stubblefield, LUGER, Stubblefield

Publisher

Addison Wesley Publishing Company

Published

1997

Language

EN

ISBN

9780805311969

Category

nonfiction

Subjects

Science, Computer Science, Reference

Rating

4.5 / 5 (9 ratings)

Updated

2026-03-14