Sentence examples for behavioural prediction from inspiring English sources

Depending on the GP's level of engagement, we also propose that a questionnaire similar to the one used for this study be developed based on the integrative model of behavioural prediction developed by Martin Fishbein [ 24].

This includes quality assurance, design verification and performance assessment purposes for battery manufacturers, validation purposes for battery users, and battery behavioural research purposes for engineers developing behavioural prediction algorithms.

These behavioural predictions were compared to choice behaviour in healthy participants performing similar value decisions during transcranial direct current stimulation (tDCS), a non-invasive brain stimulation technique.

These virtual subjects were then used to form behavioural predictions for the stimulation conditions.

Unlike previous stimulation studies, we used a computational neurostimulation approach that provided us with both neuronal and behavioural predictions about the impact of stimulation, and thus a mechanistic interpretational framework for the analogous experiments in our human participants.

When generating behavioural predictions about the effect of neurostimulation in humans, we first ran the BAM using a range of learning rate and inverse temperature values previously reported during a similar probabilistic value-based decision making task (learning rate range: [0.0,1.0], inverse temperature range: [1.69, 6.63] 2.

Individual participant's suppression score was then Z-normalized for further brain-behavioural prediction analyses.

As evident in Fig. 4A (left column), the behavioural model predictions show that depolarizing stimulation increased choice stochasticity (average change β of 5.16; W = 0.0, Z = 3.76, p < 0.01, r = 0.75).

Previous reviews suggested that intention-behaviour relationships could be moderated by perceived behavioral control, with higher levels of perceived behavioural control improving prediction of intention on behaviour [42], [43].

Under this behavioural flexibility hypothesis, our prediction is that species with relatively larger brains will be better at invading urban sites than species with smaller brain sizes.

This study clearly stressed the need to incorporate the diversity of optimal foraging strategy existing between parasitoids and host life-history traits (physiological and behavioural characteristics) in the prediction of the host-parasitoid interactions.