Intermediate · Fundamentals
Forward chaining
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A reasoning strategy that starts with data and applies rules to reach a goal, often used in expert systems.
Technical Definition
A reasoning strategy that starts with data and applies rules to reach a goal, often used in expert systems.
How it works
Forward chaining is an inference method where the system begins with known facts and applies rules to derive new facts until a desired goal is achieved. This data-driven approach is common in expert systems and rule-based AI to make deductions.
Related Concepts
- Backward chaining — An inference method that starts from a potential outcome and works backward to find supporting evidence or conditions.
- Inference engine — A component of an AI system that uses logical rules to deduce new information from a knowledge base.