Forward chaining
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Forward chaining is one of the two main methods of reasoning when using inference rules. The other is backward chaining.
Forward chaining starts with the data available and uses the inference rules to conclude more data until a desired goal is reached. An inference engine using forward chaining searches the inference rules until it finds one in which the if-clause is known to be true. It then concludes the then-clause and adds this information to its data. It would continue to do this until a goal is reached. Because the data available determines which inference rules are used, this method is also called `data driven.`..
The expert system development environment CLIPS uses forward chaining.