arXiv Open Access 2024

SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia

Kianté Fernandez Dominique Makowski Christopher Fisher

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Abstrak

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.

Topik & Kata Kunci

cs.MS q-bio.NC stat.CO stat.ME

Penulis (3)

Kianté Fernandez

Dominique Makowski

Christopher Fisher

Format Sitasi

APA MLA BibTeX

Fernandez, K., Makowski, D., Fisher, C. (2024). SequentialSamplingModels.jl: Simulating and Evaluating Cognitive Models of Response Times in Julia. https://arxiv.org/abs/2411.06631

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓