Intelligent systems: a modern approach

by Grosan, Crina

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Title Statements

Full title :Intelligent systems : a modern approach / Crina Grosan and Ajith Abraham.

Summary

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.

Edition Statements

Publication Date:2011.

Publication Statements

Publisher(s):Springer
Place of Publication:New York
Language:eng
Publication Date:2011.

The Physical Object

Description:1 online resource (xiv, 450 pages) : : illustrations (some color)

Edition Identifiers

ISBN:9783642210044, 364221004X, 3642210031, 9783642210037
oclc:ocn754717581
LC Classification:QA76.76.I58
Dewey Decimal:006.3

Title; Preface; Contents; Evolution of Modern Computational Intelligence; Introduction; Roots of Artificial Intelligence; Modern Artificial Intelligence; Metamodern AI; Problem Solving by Search; Introduction; What Is Search?; Tree Based Search; Graph Search; Search Methods Classification; Uninformed Search Methods; Performance Evaluation of the Uninformed Search Strategies; References; Informed (Heuristic) Search; Introduction; Heuristics; Best First Search; Greedy Search; A* Search; Comparisons and Remarks; A* Variants; References; Iterative Search; Introduction; Hill Climbing

Simulated AnnealingTabu Search; Means Ends; Summary; References; Adversarial Search; Introduction; MIN-MAX Algorithm; Alpha-beta Pruning; Comparisons and Discussions; References; Knowledge Representation and Reasoning; Introduction; Propositional Logic; First Order Predicate Logic (FOPL); Resolution in Propositional Logic and FOPL; References; Rule-Based Expert Systems; Introduction; Elements of a Rule-Based System; Structure of a Rule-Based Expert System; Types of Rule-Based Expert Systems; Conflict Resolution; Benefits and Capabilities of Rule Based Expert Systems; Types of Expert Systems

Examples of E…

Subjects

Agents intelligents (Logiciels) artificial intelligence Commande intelligente Expert systems (Computer science) Ingénierie Intelligence artificielle Intelligent agents (Computer software) Intelligent control systems Systèmes experts (Informatique)