تقرير
Modeling VI and VDRL feedback functions: searching normative rules through computational simulation
| العنوان: | Modeling VI and VDRL feedback functions: searching normative rules through computational simulation |
|---|---|
| المؤلفون: | Silveira, Paulo Sergio Panse, Siqueira, Jose de Oliveira, Bernardy, Joao Lucas, Santiago, Jessica, Meneses, Thiago Cersosimo, Portela, Bianca Sanches, Benvenuti, Marcelo Frota |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science Quantitative Biology |
| مصطلحات موضوعية: | Computer Science - Artificial Intelligence, Quantitative Biology - Quantitative Methods |
| الوصف: | In this paper, we present a R script named Beak, built to simulate rates of behavior interacting with schedules of reinforcement. Using Beak, we've simulated data that allows an assessment of different reinforcement feedback functions (RFF). This was made with unparalleled precision, since simulations provide huge samples of data and, more importantly, simulated behavior isn't changed by the reinforcement it produces. Therefore, we can vary it systematically. We've compared different RFF for RI schedules, using as criteria: meaning, precision, parsimony and generality. Our results indicate that the best feedback function for the RI schedule was published by Baum (1981). We also propose that the model used by Killeen (1975) is a viable feedback function for the RDRL schedule. We argue that Beak paves the way for greater understanding of schedules of reinforcement, addressing still open questions about quantitative features of schedules. Also, they could guide future experiments that use schedules as theoretical and methodological tools. Comment: This is a revised version of the manuscript submitted for consideration for publication in the Journal of the Experimental Analysis of Behavior (JEAB) in July 6th, 2022. Supplemental material is available under SourceForge at https://sourceforge.net/projects/simpleschedules/ |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2111.13943 |
| رقم الأكسشن: | edsarx.2111.13943 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |