Autonomous driving paper index
Hierarchical resource rationality explains human reading behaviour
One-line summary
Here we propose resource-rational optimization as a unifying control principle governing adaptive reading behaviour.
Engineering notes
Key topics: autonomous driving, perception, control. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Reading is a pervasive and cognitively demanding activity that underpins modern human culture. It is a prime instance of a class of tasks where eye movements are coordinated for the purpose of comprehension. Existing theories explain either eye movements or comprehension during reading, but the critical link between the two remains unclear. Here we propose resource-rational optimization as a unifying control principle governing adaptive reading behaviour. Eye movements are selected to maximize expected comprehension while minimizing cognitive and temporal costs, organized hierarchically across nested time scales: fixation decisions support word recognition; sentence-level integration guides skipping and regression; and text-level comprehension goals shape memory construction and rereading. A computational implementation successfully replicates an unprecedented range of findings in human reading, from lexical effects to comprehension outcomes. Together, these results suggest that resource rationality provides a general mechanism for coordinating perception, memory and action in knowledge-intensive human behaviours, offering a principled account of how complex cognitive skills adapt to limited resources.
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