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Computational intelligence (CI)

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TL;DR. AI methods inspired by nature, focusing on learning from data and experimental observation.

Technical Definition

AI methods inspired by nature, focusing on learning from data and experimental observation.

How it works

Computational intelligence (CI) encompasses nature-inspired computational methods like neural networks, fuzzy systems, and evolutionary computation. These techniques are designed to handle uncertainty and imprecision, enabling systems to learn and adapt from data.

Related Concepts

  • Neural Network — A computing system inspired by biological neural networks that learns patterns from data through interconnected layers of nodes.
  • Machine Learning — A field of AI where systems learn patterns from data instead of following hard-coded rules.
  • Fuzzy logic — A logic system that uses 'degrees of truth' between 0 and 1, allowing for imprecise reasoning.

Further Reading

  • Wikipedia — Glossary of AI