The information about perceived scenarios from the recognition module is constantly passed to the decision units.
Importantly, as more GPs perceived scenarios as difficult and complexity increased, fewer GPs made appropriate decisions.
In another study [ 19], the more information the scenarios contained, the greater the proportion of participants who perceived scenarios as difficult, supporting the view that as complexity increases, difficulty increases [ 3- 5].
Interestingly, the perceived access scenario (scenario 1) has similar sized effects as the train frequency increase (scenario 5).
Additionally, a non-significant difference was discovered between scenarios where a power imbalance is perceived and scenarios wherein power falls somewhere between 'balanced' and 'imbalanced' (hence 'mid' being designated to scenarios C, D, F and K).
In real situations, however, judgments based on perceived future scenarios are almost always uncertain.
According to the result of analysis of variance (ANOVA), the respondents perceived those scenarios differently in their negativity (F 1,210 = 5.405, p < .21).21
We perceive this scenario emphasises the need for efficient resampling, where, as is often the case, the likelihood, dynamics and proposal were computationally demanding and the relative merits of different resampling schemes would be less apparent.
In this case the respondent perceives the scenario differently to what is intended.
I do not perceive this scenario as the solution of choice.
