| 1. | Forward chaining would teach the subject first to insert the key.
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| 2. | In forward chaining an antecedent fires and asserts the consequent.
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| 3. | The forward chaining approach is often employed by expert systems, such as CLIPS.
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| 4. | There are mainly two modes for an inference engine : forward chaining and backward chaining.
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| 5. | In artificial intelligence, " modus ponens " is often called forward chaining.
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| 6. | The most common forms of chaining are backward chaining, forward chaining, and total task presentation.
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| 7. | Specific conclusions from a set of given facts in a knowledge base, e . g . forward chaining versus backward chaining.
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| 8. | A simple example of forward chaining would be to assert Man ( Socrates ) to the system and then trigger the inference engine.
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| 9. | In forward chaining the engine looks for rules where the antecedent ( left hand side ) matches some fact in the knowledge base.
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| 10. | One of the first and most popular forward chaining engines was OPS5 which used the Rete algorithm to optimize the efficiency of rule firing.
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