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LINEAR MODELING OF STEADY‐STATE BEHAVIORAL DYNAMICS
Author(s) -
Palya William L.,
Walter Donald,
Kessel Robert,
Lucke Robert
Publication year - 2002
Publication title -
journal of the experimental analysis of behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.75
H-Index - 61
eISSN - 1938-3711
pISSN - 0022-5002
DOI - 10.1901/jeab.2002.77-3
Subject(s) - reinforcement , fidelity , transfer function , schedule , dynamics (music) , computer science , steady state (chemistry) , work (physics) , high fidelity , function (biology) , linear model , spectral analysis , transfer (computing) , machine learning , psychology , physics , engineering , chemistry , pedagogy , spectroscopy , acoustics , biology , operating system , social psychology , telecommunications , quantum mechanics , evolutionary biology , parallel computing , thermodynamics , electrical engineering
The observed steady‐state behavioral dynamics supported by unsignaled periods of reinforcement within repeating 2,000‐s trials were modeled with a linear transfer function. These experiments employed improved schedule forms and analytical methods to improve the precision of the measured transfer function, compared to previous work. The refinements include both the use of multiple reinforcement periods that improve spectral coverage and averaging of independently determined transfer functions. A linear analysis was then used to predict behavior observed for three different test schedules. The fidelity of these predictions was determined.