Semantic Networks II.docx - cfw_slide2 ,...

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{slide 2} In the first part of this lecture on semantic networks, we saw how the principle of  cognitive economy is implemented in the hierarchical framework and how the models  account for the performance of sentence verification tasks. In the second part, we will see how semantic networks account for priming, the problem they have with “fast nos” that  are observed in sentence verification, and how the models have been refined. {slide 3} You will recall that semantic networks assume that activation spreads from node to node  via the links that connect them. For instance, activating the concept canary spreads  activation to the bird node, which in turn spreads activation to the animal, robin, and  ostrich nodes. Thus, the levels of activation of these nodes are greater after canary has  been activated than before it was activated. According to the model, this should make  animal, robin, and ostrich easier to access because canary primed their nodes.
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