Sentence examples for behavioral predictions from inspiring English sources
(Bottom) Behavioral predictions based on the neural activity predicted by the IFF (plain blue line) and the control model that is purely based on the stimulus (dashed magenta line).
To assess the quality of the behavioral predictions obtained from the stimulus-to-behavior GLM described in equation (13), we computed the likelihood associated with the observation of the entire set of runs obtained in the closed-loop light and odor gradients.
The fact that degradation in neuronal sensitivity in the owl (elevation vs. azimuth) causes a proportional degradation in behavior suggests that the variances of the motor system do not influence behavioral predictions of the habituation-based model.
Classical economic models make behavioral predictions based on the assumption that people are fully rational and care only about maximizing their own payoffs.
Path-mapping models thus can include task-specific skills such as encoding analogs or generating responses, and can make behavioral predictions at the level of real-world metrics such as latency or correctness.
Characterizing the covert process of psychological time travel in this way yields some interesting behavioral predictions.
But it would be more precise to say that Gilbert -- along with the psychologist Tim Wilson of the University of Virginia, the economist George Loewenstein of Carnegie-Mellon and the psychologist (and Nobel laureate in economics) Daniel Kahneman of Princeton -- has taken the lead in studying a specific type of emotional and behavioral prediction.
The CEEF behavioral Prediction System, CPS, that will help to confirm the operation schedule, is under development.
This is critical to achieve the required level of accuracy to make meaningful contributions to drilling system behavioral prediction.
More specifically, the integrative model of behavioral prediction was adapted with internal factors to identify determinants of real payments elicited with the Becker DeGroot Marschak mechanism.
In this paper, we deal with the problem of automatically abstracting behavior models such that their level of granularity is as coarse as possible, but still sufficiently detailed to carry out a given behavioral prediction or diagnostic task.
