Computational Intelligence: A Compendium

Computational Intelligence paradigms have proven effective on real-world problems in virtually all disciplines including Science, Engineering, Business, healthcare, Management and Avionics. This handbook includes contributions from the leading international experts in their respective fields. There...

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Corporate Author: SpringerLink (Online service)
Other Authors: Fulcher, John. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Studies in Computational Intelligence, 115
Subjects:
Online Access:https://doi.org/10.1007/978-3-540-78293-3
Table of Contents:
  • Overview, Background
  • Computational Intelligence: An Introduction
  • Preprocessing, Visualization, Systems Integration
  • Data Reduction for Pattern Recognition and Data Analysis
  • Topographic Maps for Clustering and Data Visualization
  • Complex Systems Paradigms for Integrating Intelligent Systems: A Game Theoretic Approach
  • Artificial Intelligence
  • Emotional Intelligence: Giving Computers Effective Emotional Skills to Aid Interaction
  • Logic and Reasoning
  • The Paraconsistent Annotated Logic Program EVALPSN and its Application
  • The Data-Oriented Parsing Approach: Theory and Application
  • Ontology
  • Graph-Based Representation and Reasoning for Ontologies
  • An Ontology-Based Intelligent Mobile System for Tourist Guidance
  • Intelligent Agents
  • Open Source Agent-Based Modeling Frameworks
  • Agent-Based Grid Computing
  • Decentralized Multi-Agent Clustering in Scale-free Sensor Networks
  • Computational Intelligence in Agent-Based Computational Economics
  • Fuzzy Systems
  • Semantics and Perception of Fuzzy Sets and Fuzzy Mappings
  • Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers
  • Artificial Neural Networks
  • Data Mining in QoS-Aware Media Grids
  • The Self-Organizing Maps: Background, Theories, Extensions and Applications
  • Neural Systems Engineering
  • Artificial Brains: An Evolved Neural Net Module Approach
  • Evolutionary Approaches
  • Evolving Artificial Neural Network Ensembles
  • An Order Based Memetic Evolutionary Algorithm for Set Partitioning Problems
  • Genetic Programming: An Introduction and Tutorial, with a Survey of Techniques and Applications
  • The Particle Swarm Algorithm
  • DNA and Immunity-Based Computing
  • DNA Computing and its Application
  • The Next Generation of Immunity-Based Systems: From Specific Recognition to Computational Intelligence.