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

IF 4.6 2区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Behavior Research Methods Pub Date : 2025-03-28 DOI:10.3758/s13428-025-02648-9

Miguel Aguayo-Mendoza, Cristiano Valerio Dos Santos

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引用次数: 0

Abstract

The diffuse discrepancy model (DiffDiscM) has proven to be a valuable tool for simulating both Pavlovian and operant conditioning phenomena. However, its original implementation in Pascal (SelNet1© interface) has limitations regarding accessibility and ease of use. This paper presents DDM-UI, a new user interface developed in R for the DiffDiscM. DDM-UI offers an intuitive, open-source platform that enables researchers to configure, run, and analyze DiffDiscM simulations more efficiently. The main features of DDM-UI are described, including network architecture setup, trial and contingency definition, and result visualization. Three use cases demonstrate the practical application of DDM-UI in simulating various conditioning experiments, including superstition, Pavlovian/autoshaped impulsivity, and complex phenomena such as blocking, compound conditioning, and successive conditioning. The validation process highlights DDM-UI's ability to replicate previous findings while offering enhanced data visualization and analysis capabilities. DDM-UI represents a significant advancement in the accessibility of the DiffDiscM, facilitating its use in behavioral research and promoting reproducibility in the field. The paper also discusses the limitations of the current implementation and suggests future developments to further enhance the tool's capabilities in exploring complex learning and behavioral phenomena.

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DDM-UI：用R语言编写的用于行为研究中差异扩散模型的用户界面。

弥散差异模型（DiffDiscM）已被证明是模拟巴甫洛夫条件反射和操作性条件反射现象的一个有价值的工具。然而，它在Pascal中的原始实现（SelNet1©界面）在可访问性和易用性方面存在限制。本文介绍了用R语言为DiffDiscM开发的一个新的用户界面DDM-UI。DDM-UI提供了一个直观的开源平台，使研究人员能够更有效地配置、运行和分析DiffDiscM模拟。介绍了DDM-UI的主要特性，包括网络体系结构设置、试验和偶然性定义以及结果可视化。三个用例展示了DDM-UI在模拟各种条件反射实验中的实际应用，包括迷信、巴甫洛夫/自形冲动，以及阻塞、复合条件反射和连续条件反射等复杂现象。验证过程突出了DDM-UI复制先前发现的能力，同时提供了增强的数据可视化和分析功能。DDM-UI代表了DiffDiscM在可访问性方面的重大进步，促进了其在行为研究中的使用，并促进了该领域的可重复性。本文还讨论了当前实现的局限性，并建议未来的发展，以进一步提高工具在探索复杂学习和行为现象方面的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Behavior Research Methods Multiple-

CiteScore

10.30

自引率

9.30%

发文量

266

期刊介绍： Behavior Research Methods publishes articles concerned with the methods, techniques, and instrumentation of research in experimental psychology. The journal focuses particularly on the use of computer technology in psychological research. An annual special issue is devoted to this field.