Computational Cognitive Modeling and Linguistic Theory by Adrian Brasoveanu & Jakub Dotlačil
Author:Adrian Brasoveanu & Jakub Dotlačil
Language: eng
Format: epub
ISBN: 9783030318468
Publisher: Springer International Publishing
7.3 The Second ACT-R Model of Lexical Decision: Adding the Latency Exponent
Our ACT-R lexical decision model without a latency exponent does not provide a satisfactory fit to the Murray and Forster (2004) latency data. In fact, the log-frequency model is both simpler (although less theoretically motivated) and empirically more adequate.
We therefore move to a model that is minimally enriched by explicitly modeling the latency exponent. The usefulness of the latency exponent in modeling reaction time data has been independently noted in the recent literature—see, for example, West et al. (2010).
The code for the model is provided in below. The only additions are (i) the half-normal prior for the latency exponent on line 10 and (ii) its corresponding addition to the latency likelihood on line 25. Note that we use a different method to sample the posterior for this model (Sequential Monte Carlo/SMC, line 37).4
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