SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia
Kiant\'e Fernandez, Dominique Makowski, and Christopher Fisher
TL;DR
SequentialSamplingModels.jl is a Julia package that simplifies the simulation, visualization, and Bayesian analysis of sequential sampling models, enhancing accessibility for cognitive science researchers.
Contribution
The paper introduces SSM.jl, a new Julia software package that streamlines the simulation and evaluation of cognitive response time models.
Findings
Facilitates easy simulation and plotting of SSMs
Enables Bayesian inference within Julia environment
Integrates with Julia ecosystem for cognitive modeling
Abstract
Sequential sampling models (SSMs) are a widely used framework describing decision-making as a stochastic, dynamic process of evidence accumulation. SSMs popularity across cognitive science has driven the development of various software packages that lower the barrier for simulating, estimating, and comparing existing SSMs. Here, we present a software tool, SequentialSamplingModels.jl (SSM.jl), designed to make SSM simulations more accessible to Julia users, and to integrate with the Julia ecosystem. We demonstrate the basic use of SSM.jl for simulation, plotting, and Bayesian inference.
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Taxonomy
TopicsArtificial Intelligence in Games