And they've probably been behind a lot of the more dramatic high-profile successes of deep learning and other kind of computer science efforts to model perception, and action, and so forth, right?
Also we did not use Fuzzy Sets to model the internal structure of categories [16], [41] or to model perception and judgment processes [42], [43].
Among the first uses of the computer was the development of programs to model perception, reasoning, learning, and evolution.
Process Works is, on one hand, a language for describing the process control knowledge: physical and empirical models, perception and pattern recognition, reasoning and recommending actions.
Over time or trials, the response model has the form of a state-space model (e.g., [9]), with two components: (i) an evolution function that models perception and learning through surprise minimization and (ii) an observation function that models decision making through risk minimization.
In the third and fourth model, perception and knowledge related variables were assessed.
Case studies in modeling surface perception and predicting the future.
It includes a combination of models, perceptions, and learning of patterns with precedents (Saba and Rehman 2012; Norouzi et al. 2014).
In this case, if the association between child adiposity and maternal feeding style is reduced when maternal weight perception or concern is added into the regression model, perceptions and concerns are implicated as mediators.
