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DDM-UI: A user interface in R for the discrepancy diffuse model in behavioral research.

Miguel Aguayo-Mendoza¹, Cristiano Valerio Dos Santos²

¹Centro de Estudios e Investigación en Comportamiento, University of Guadalajara, Guadalajara, Mexico. aguayo@iteso.mx.

Behavior Research Methods

|March 29, 2025

Summary

This summary is machine-generated.

A new R-based interface, DDM-UI, enhances the DiffDiscM for simulating conditioning. This open-source tool improves accessibility and efficiency for behavioral research and reproducibility.

Keywords:

Artificial neural networks Behavioral sciences Computational learning models Psychology Simulation

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Area of Science:

Behavioral science
Computational neuroscience
Machine learning

Background:

The DiffDiscM is a powerful model for simulating Pavlovian and operant conditioning.
Previous implementations had accessibility and usability limitations.

Purpose of the Study:

Introduce DDM-UI, an R-based, open-source user interface for the DiffDiscM.
Enhance the efficiency and accessibility of DiffDiscM simulations for researchers.

Main Methods:

Developed DDM-UI in R, featuring intuitive configuration, execution, and analysis.
Implemented features for network architecture setup, trial/contingency definition, and result visualization.
Validated DDM-UI through simulations of superstition, impulsivity, blocking, and compound/successive conditioning.

Main Results:

DDM-UI successfully replicates established findings in conditioning research.
The interface provides enhanced data visualization and analysis capabilities.
Demonstrated practical applications across diverse conditioning paradigms.

Conclusions:

DDM-UI significantly improves the accessibility and usability of the DiffDiscM.
Facilitates behavioral research and promotes reproducibility in computational modeling.
Offers a foundation for future developments in exploring complex learning phenomena.