Difference data driven and goal driven search in ai in tabular form
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Data Driven approach collects the facts about the problem , apply rules on the data and produce new facts from it to move towards the goal. It is also termed as forward chaining.
Goal driven approach focus on the goal, search the facts and rules that could be able to produce that goal. It works by processing in backward direction via rules and sub goals to reach to the facts of the problem. It is also called backward chaining.
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