Beckman Institute, University of Illinois, 405 North Mathews Avenue, Urbana, IL 61801, USA.
Cognition. 2010 Feb;114(2):227-52. doi: 10.1016/j.cognition.2009.09.007. Epub 2009 Oct 24.
Naming a picture of a dog primes the subsequent naming of a picture of a dog (repetition priming) and interferes with the subsequent naming of a picture of a cat (semantic interference). Behavioral studies suggest that these effects derive from persistent changes in the way that words are activated and selected for production, and some have claimed that the findings are only understandable by positing a competitive mechanism for lexical selection. We present a simple model of lexical retrieval in speech production that applies error-driven learning to its lexical activation network. This model naturally produces repetition priming and semantic interference effects. It predicts the major findings from several published experiments, demonstrating that these effects may arise from incremental learning. Furthermore, analysis of the model suggests that competition during lexical selection is not necessary for semantic interference if the learning process is itself competitive.
给一张狗的图片命名会启动随后对一张狗的图片的命名（重复启动），并干扰随后对一张猫的图片的命名（语义干扰）。行为研究表明，这些效应源于单词被激活和选择生成的方式的持续变化，有人声称，只有通过假设词汇选择的竞争机制，才能理解这些发现。我们提出了一个简单的言语产生中词汇提取模型，它将错误驱动学习应用于其词汇激活网络。该模型自然会产生重复启动和语义干扰效应。它预测了几个已发表实验的主要发现，表明这些效应可能源于增量学习。此外，对模型的分析表明，如果学习过程本身具有竞争性，则在词汇选择过程中竞争对于语义干扰并非必需。
