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Found 3 papers, 1 papers with code
Exploring the hierarchical structure of human plans via program generation
We find that humans are sensitive to both metrics, but that both accounts fail to predict a qualitative feature of human-created programs, namely that people prefer programs with reuse over and above the predictions of MDL.
Humans decompose tasks by trading off utility and computational cost
Human behavior emerges from planning over elaborate decompositions of tasks into goals, subgoals, and low-level actions.
Learning to select computations
The efficient use of limited computational resources is an essential ingredient of intelligence.
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