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Backward chaining (or backward reasoning) is an inference method described colloquially as working backward from the goal. It is used in automated theorem provers, inference engines, proof assistants, and other artificial intelligence applications.
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inference backward chaining goal antecedent rules used rule consequent engine reasoning goals new fritz called see must green proven becomes
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Prolog | instance of | The backward chaining approach is often employed by expert systems.Programming languages | 0.80 | text |
| Knowledge Machine | instance of | The backward chaining approach is often employed by expert systems.Programming languages | 0.80 | text |
| ECLiPSe support backward chaining within their inference engines | instance of | The backward chaining approach is often employed by expert systems.Programming languages | 0.80 | text |
| Backward chaining | related to External links | Backward | 0.60 | section |
| Backward chaining | related to Usage | Backward | 0.60 | section |
| Backward chaining | related to Usage | An | 0.60 | section |
| Backward chaining | related to Usage | Then | 0.60 | section |
| Backward chaining | related to Usage | If | 0.60 | section |
| Backward chaining | related to Usage | For | 0.60 | section |
| Backward chaining | related to Usage | Fritz | 0.60 | section |
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