Modeling VI and VDRL feedback functions: Searching normative rules through computational simulation
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Citações na Scopus
1
Tipo de produção
article
Data de publicação
2023
Título da Revista
ISSN da Revista
Título do Volume
Editora
WILEY
Autores
BERNARDY, Joao Lucas
SANTIAGO, Jessica
MENESES, Thiago Cersosimo
PORTELA, Bianca Sanches
BENVENUTI, Marcelo Frota
Citação
JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR, v.119, n.2, p.324-336, 2023
Resumo
We present the mathematical description of feedback functions of variable interval and variable differential reinforcement of low rates as functions of schedule size only. These results were obtained using an R script named Beak, which was built to simulate rates of behavior interacting with simple schedules of reinforcement. Using Beak, we have simulated data that allow an assessment of different reinforcement feedback functions. This was made with unparalleled precision, as simulations provide huge samples of data and, more importantly, simulated behavior is not changed by the reinforcement it produces. Therefore, we can vary response rates systematically. We've compared different reinforcement feedback functions for random interval schedules, using the following criteria: meaning, precision, parsimony, and generality. Our results indicate that the best feedback function for the random interval schedule was published by Baum (1981). We also propose that the model used by Killeen (1975) is a viable feedback function for the random differential reinforcement of low rates schedule. We argue that Beak paves the way for greater understanding of schedules of reinforcement, addressing still open questions about quantitative features of simple schedules. Also, Beak could guide future experiments that use schedules as theoretical and methodological tools.
Palavras-chave
reinforcement feedback function, simple schedules of reinforcement, simulation, variable differential reinforcement of low rates, variable interval
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