Psychologists have used the semantic fluency task for decades to gain insight into the processes and representations underlying memory retrieval.
Psychologists have used the semantic fluency task for decades to gain insight into the processes and representations underlying memory retrieval.
Psychologists have used the semantic fluency task fordecades to gain insight into the processes and representationsunderlying memory retrieval.
Feb 10, 2016 · We suggest that explicitly structuring knowledge about words into a semantic network plays a crucial role in modeling human behavior in memory ...
Jeffrey C. Zemla, Joseph L. Austerweil: Modeling Semantic Fluency Data as Search on a Semantic Network. CogSci 2017. a service of Schloss Dagstuhl - Leibniz ...
[PDF] Human memory search as a random walk in a semantic network
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semantic network, much like the random web surfer model used in internet search engines. This offers a simpler and more unified account of how people search.
Recent empirical and modeling research has focused on the semantic fluency task because it is informative about seman- tic memory.
Semantic memory retrieval is a function of a search algorithm and a semantic representation. A challenge in studying retrieval has been that different ...
semantic fluency data. First, we focus on predicting the pattern of recall observed in human data, then we examine the properties of each patch switch model.
Nov 29, 2017 · Here we present a model that incrementally updates a semantic network, with limited computational steps, and replicates many patterns found in ...