In our analysis, guided by the Integrative Model of Behavioral Prediction [ 13], we developed regression models to identify the determinants of risk perception and predictors of patent's willingness to take the proposed medication (DMARD willingness).
Guided by the Transtheoretical Model of Behavioral Change (TTM) [ 36], one proven approach for health promotion is to individually-tailor education by the level of patients' readiness to take certain health behaviors and other decision-making variables, like the patients' self-efficacy [ 37– 42].
As predicted by the Tinbergen hierarchical model of behavioral choice [ 2], tactile stimuli that evoke whole-body withdrawal responses in Lymnaea significantly inhibit feeding even in the presence of a strong feeding stimulus.
Thus quantitative understanding of LIP function, as suggested above, is more likely to arise from consideration of specific behavioral paradigms in which relevant inputs can be specified precisely, possible neural computations can be inferred from quantitative modeling of behavioral data, and neural signals can be compared to the internal computations postulated by the behavioral model [31], [73].
The system engineering argument can be refined by using behavioral models of desired composite system behavior, of the system under development (SuD), and of its environment.
Having a societal or policy goal differentiates framing from social marketing, which seeks to affect actions by individuals, drawing on models of persuasion and behavioral theory.
These results may help further develop behavioral models of depression by suggesting that behavioral or self-reinforcing activities are associated primarily (or more saliently) with one's experience of positive affect.
Overall, these results demonstrate that a large-scale data mining approach can inform the evolution of theoretical cognitive models by probing the range of behavioral manipulations across experimental tasks.
Determining such partial effects requires a model of the behavioral forces that jointly determine the relevant variables.
