TheEmergenceofAdaptiveEye-MovementControlinReading:Theoryand
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Computational models of eye-movement control during reading provide precise quantitative descriptions of the perceptual, cognitive,and motorie processing that guide readers' eyes, but are based on numerous equivocal a priori theoretical assumptions. This articledescribes an alternative approach to understanding eye-movement control: Using reinforcement learning to examine how complex eye-movement behaviors emerge from the requirement to identify words rapidly in the context of known psychological and physiologicalconstraints (e.g., limited visual acuity). An example simulation is reported, as are key results from an fMRI experiment that demon-strates that structures implicated in reinforcement learning support the learning of eye-movement behavior in humans.
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