Artificial Intelligence: Structures and Strategies for Complex Problem Solving / Edition 6 by George F. Luger | 9780132090018 | Paperback | Barnes & Noble
Artificial Intelligence: Structures and Strategies for Complex Problem Solving

Artificial Intelligence: Structures and Strategies for Complex Problem Solving

by George F. Luger
     
 

ISBN-10: 0132090015

ISBN-13: 9780132090018

Pub. Date: 08/28/2008

Publisher: Pearson Education

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

Overview

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 networks, Hopfield networks, Grossberg learning, and counterpropagation. Emergent and social methods of learning and adaptation, including genetic algorithms, genetic programming and artificial life.

Object and agent-based problem solving and other forms of advanced knowledge representation

Product Details

ISBN-13:
9780132090018
Publisher:
Pearson Education
Publication date:
08/28/2008

Table of Contents

Prefacevii
Publisher's Acknowledgementsxvi
Part IArtificial Intelligence: Its Roots and Scope1
1AI: Early History and Applications3
Part IIArtificial Intelligence as Representation and Search35
2The Predicate Calculus45
3Structures and Strategies for State Space Search79
4Heuristic Search123
5Stochastic Methods165
6Building Control Algorithms for State Space Search193
Part IIIRepresentation and Intelligence: The AI Challenge223
7Knowledge Representation227
8Strong Method Problem Solving277
9Reasoning in Uncertain Situations333
Part IVMachine Learning385
10Machine Learning: Symbol-Based387
11Machine Learning: Connectionist453
12Machine Learning: Social and Emergent507
Part VAdvanced Topics for AI Problem Solving545
13Automated Reasoning547
14Understanding Natural Language591
Part VILanguages and Programming Techniques for Artificial Intelligence635
15An Introduction to Prolog641
16An Introduction to Lisp723
Part VIIEpilogue821
17Artificial Intelligence as Empirical Enquiry823
Bibliography855
Author Index883
Subject Index891

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