A natural modeling framework for explaining the ensuing saccadic reactions is a hierarchical Bayesian learning model where the subject's belief about the environment's volatility affects the updating of beliefs about the most likely saccade target location.
Our framework describes the ontological level of behavior, so processes in our framework explain behaviors.
We used Ley's cognitive hypothetical model of communication and subsequently developed a theoretical framework explaining information exchange in healthcare contexts.
As an illustration, the paper explains how to: specify behaviors by using the Eclipse Modeling Framework, validate these behaviors by using the model checker LTSA, run/implement the models into the general functional programming language Haskell.
The theoretical framework was the Normalisation Process Model (NPM) which is a sociological model explaining why some new technologies become fully embedded in routine practice (normalised) and others do not.
Eclipse modeling framework.
Figure 2 Integrated modeling framework.
BFRM is a Bayesian modeling framework.
This model explained 17% of the variance.
The model explained 13% of the variance.
