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Computational intelligence

Computational intelligence is a branch of the study of artificial intelligence. Computational intelligence research aims to use learning, adaptive, or Evolutionary Computation to create programs that are, in some sense, intelligent. Computational intelligence research either explicitly rejects statistical methods (e.g., Fuzzy System), or tacitly ignores statistics (e.g., most Neural Network research). In contrast, Machine Learning research rejects non-statistical approaches to learning, adaptivity, and optimization.

Subjects in computational intelligence as defined by [http://www.ieee-cis.org/ IEEE Computational Intelligence Society] are:

  • Neural Networks
  • Fuzzy Systems
  • Evolutionary Computation, including:
  • **Evolutionary Algorithm **Swarm Intelligence

    Aspects Related to computational intelligence include:

  • Simulated Annealing
  • Machine Learning
  • Artificial Immune Systems
  • Expert Systems
  • Hybrid Logic
  • Soft Computing
  • Bayesian Network
  • Remotely related topics:

  • Bioinformatics and Bioengineering
  • Autonomous Mental Development
  • Computational Finance and Computational Economics
  • Intelligent Systems Applications
  • Emergent Technology
  • Data Mining
  • = External links =

  • [http://www.ieee-cis.org/ IEEE Computational Intelligence Society]
  • [http://www.cs.vu.nl/ci/ Computational Intelligence Group]
  • [http://www.blackwellpublishing.com/journal.aspref=0824-7935 Computational Intelligence Journal]
  • [http://www.enformatika.org/journals/1304-2386/ International Journal of Computational Intelligence]
  • [http://www.enformatika.org/journals/1305-6417/ International Journal of Intelligent Technology]
  • [http://www.ijcir.info/ International Journal of Computational Intelligence Research]