Techniques & Methods
Forward Chaining
Forward chaining is a data-driven reasoning strategy used in rule-based AI systems and expert systems. Starting from available facts, it repeatedly applies inference rules to derive new facts until a goal is reached or no more rules can fire.
Forward chaining is used in automated planning, business rule engines, and production systems. In contrast to backward chaining (which starts from a goal), forward chaining is useful when all starting facts are available and the possible conclusions are manageable in number.
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Related Terms
Techniques & Methods
Backward Chaining
Goal-driven reasoning that works backward from a desired conclusion to find supporting facts.
Techniques & Methods
Knowledge Representation
Methods AI systems use to model, store, and reason over knowledge about the world.
Techniques & Methods
Heuristics
Practical problem-solving approaches using rules of thumb rather than exhaustive search.
Core Concepts
Algorithm
A set of mathematical instructions or rules computers follow to accomplish specific tasks.