Discussion
Which inefficiency is characteristic of forward chaining?
Answer: A
Data-driven inference pursues every consequence of the facts, so in a large base most of the work has nothing to do with the question of interest. Redundant questioning and repeated subgoals are backward-chaining faults, and duplicated knowledge bases belong to nothing here. Goal-directed filtering, or a hybrid regime, is the usual remedy when a forward system must answer specific queries. Naming the cost of a choice alongside its benefit is what turns a fact into a design decision. Checking the units of each quantity catches a wrong formula before the arithmetic begins.
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