Intelligent Systems: A Modern Approach

✍ Scribed by Crina Grosan, Ajith Abraham (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2011
• Tongue: English
• Leaves: 465
• Series: Intelligent Systems Reference Library 17
• Edition: 1
• Category: Library

✦ Synopsis

Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted.

Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.

✦ Table of Contents

Front Matter....Pages -
Evolution of Modern Computational Intelligence....Pages 1-11
Problem Solving by Search....Pages 13-52
Informed (Heuristic) Search....Pages 53-81
Iterative Search....Pages 83-109
Adversarial Search....Pages 111-129
Knowledge Representation and Reasoning....Pages 131-147
Rule-Based Expert Systems....Pages 149-185
Managing Uncertainty in Rule Based Expert Systems....Pages 187-217
Fuzzy Expert Systems....Pages 219-260
Machine Learning....Pages 261-268
Decision Trees....Pages 269-280
Artificial Neural Networks....Pages 281-323
Advanced Artificial Neural Networks....Pages 325-344
Evolutionary Algorithms....Pages 345-386
Evolutionary Metaheuristics....Pages 387-407
Swarm Intelligence....Pages 409-422
Hybrid Intelligent Systems....Pages 423-450

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics)