Backward Chaining
Definition
Backward chaining searches from the goal for matching facts and rules.
An inference method that starts from a goal and searches backward for rules and facts that can support this goal.
Simply explained
You start with the desired conclusion and check backward which prerequisites must be met for it.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
A system checks an authorization by backward deriving the necessary roles and conditions.
Limits and pitfalls
- Do not handle cycles, contradictory rules, or missing facts.
Origin & history
Backward chaining was established in logic programming and expert systems.
Use in mid-sized companies
- Possible application: A system checks an authorization by backward deriving the necessary roles and conditions.
Frequently asked questions
What does backward chaining mean?
An inference method that starts from a goal and searches backward for rules and facts that can support this goal. What mistakes should be avoided? Not handling cycles, contradictory rules, or missing facts.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
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