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Rete algorithm

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TL;DR. An efficient pattern-matching algorithm for rule-based systems and AI applications.

Technical Definition

An efficient pattern-matching algorithm for rule-based systems and AI applications.

How it works

The Rete algorithm is a specialized computer algorithm designed for efficiently implementing rule-based systems. It excels at matching a large number of patterns against a large number of data objects, minimizing redundant computations. The algorithm is widely used in expert systems and AI to determine which rules should be activated based on current data.

Related Concepts

  • Expert system — AI programs that mimic the decision-making ability of a human expert using a knowledge base and inference rules.
  • Inference engine — A component of an AI system that uses logical rules to deduce new information from a knowledge base.
  • Rule-based system — AI systems that use human-defined rules to store and manipulate knowledge.
  • Pattern Matching — The process of comparing inputs to a stored set of patterns to identify correlations or similarities.

Further Reading

  • Wikipedia — Glossary of AI