Better than average? When can we say that subsampling of items is better than statistical summary representations?
Better than average? When can we say that subsampling of items is better than statistical summary representations?
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DOI：
10.3758/pp.70.7.1325
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发表时间：
2008-10-01
期刊：
影响因子：
--
通讯作者：
Ariely, Dan
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文献类型：
--
作者：
Ariely, Dan
Myczek和Simons（2008）描述了一种计算模型，该模型以高精度从集合中对几个项目进行子采样，表明这种方法可以与捕获集合的统计表示的模型一样好，甚至更好。虽然这是一个有趣的存在证明，但在我们将他们的方法视为人类行为模型之前，应该采取一些谨慎的态度。特别是，我建议这种基于模拟的研究应该基于更广泛的现象，它应该包括更准确的表示错误的判断。
Myczek and Simons (2008) have described a computational model that subsamples a few items from a set with high accuracy, showing that this approach can do as well as, or better than, a model that captures statistical representations of the set. Although this is an intriguing existence proof, some caution should be taken before we consider their approach as a model for human behavior. In particular, I propose that such simulation-based research should be based on a more expanded range of phenomena and that it should include more accurate representations of errors in judgments.