Department of Psychology, Washington University, St. Louis, Missouri, USA.
Psychon Bull Rev. 2010 Oct;17(5):756-62. doi: 10.3758/pbr.17.5.756.
Leite, Ratcliff, and White (2007) claimed that the diffusion model (Ratcliff, 1978) could simulate the molar patterns in response times (RTs) from the multiple tasks observed by Chen, Hale, and Myerson (2007). We present our own simulations to clarify the underlying mechanisms and show that, as is predicted by the difference engine model (Myerson, Hale, Zheng, Jenkins, & Widaman, 2003), correlations across tasks are the key to the molar patterns in individual RTs. Although the diffusion model and other sequential-sampling models may be able to accommodate patterns of RTs across tasks like those studied by Chen et al., the difference engine is the only current model that actually predicts them.
莱特、拉特克利夫和怀特（2007 年）声称，扩散模型（拉特克利夫，1978 年）可以模拟陈、黑尔和迈尔森（2007 年）观察到的多项任务中反应时间（RT）的摩尔模式。我们提出了自己的模拟结果，以阐明潜在的机制，并表明，正如差分引擎模型（Myerson、Hale、Zheng、Jenkins 和 Widaman，2003 年）所预测的那样，任务之间的相关性是个体 RT 中摩尔模式的关键。尽管扩散模型和其他序列采样模型可能能够适应陈等人研究的任务中的 RT 模式，但差分引擎是唯一真正预测这些模式的现有模型。
