Developmental Chunking

这项探索性研究的小额资助旨在通过整合自上而下的知识来提高自下而上的组块算法的性能。该方法是根据新块使之成为可能的块上的操作（在块的级别）来评估块。 该研究有望为认知中普遍存在且重要的组块提供算法基础。 这项工作的影响应该在机器学习中广泛地感受到。

This small grant for exploratory research aims to improve the performance of a bottom-up chunking algorithm by incorporating top-down knowledge. The approach is to evaluate chunks in terms of the operations on chunks - at the level of chunks - that the new chunks make possible. The research is expected to provide an algorithmic foundation for chunking, which is ubiquitous and important in cognition. The impact of this work should be felt broadly in machine learning.