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2) The dorsal attention network generates endogenous, top-down, goal-driven attention to select stimuli and link them to appropriate responses. This is particularly apparent following instructive cues, which selectively activate this network.
A backward-chaining, goal-driven, system accomplishes this. To do this, the system looks for the action in the THEN clause of the rules that matches the specified goal. In other words, it looks for the rules that can produce this goal.
Intelligent agents: reactive, deliberative, goal-driven, utility-driven, and learning agents
Artificial Intelligence programming techniques ...
Because the list of goals determines which rules are selected and used, this method is called goal-driven, in contrast to data-driven forward-chaining inference. The backward chaining approach is often employed by expert systems.
  
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