Computational Intelligence

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Computational intelligence refers to AI methods that work well when problems can’t be solved with clean rules or fixed formulas. Instead of relying on a strict set of instructions, these systems learn from data or repeated interaction with an environment. This makes them useful in situations where conditions change, and the “right” response depends on context.

The term is often used as an umbrella for several approaches. It includes neural networks that learn patterns from examples, evolutionary methods that search through many possible solutions, and fuzzy systems that handle imprecise inputs in a gradual way. These tools show up in control and forecasting problems, especially when hand-written rules break down.

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