The threshold of perceived quality for the second pass ( peer-pressure ) is shown as a vertical black bar. For E = 0, all users perceive quality level Q. For high levels of E, the blue bar will be wide. The quality perceived by the users is bounded by the blue horizontal bar, centered on the blue vertical bar. The absolute quality Q could vary from zero at the left of the white bar to 100 at the right, and the actual value randomly selected for it on this particular run is shown by the vertical blue bar. If you set the size of the population to 1, then click SETUP and RUN, what you get displayed instead is a bar-chart illustrating what the calculations are looking at. There is a second hidden feature in the model. THE BAR-CHART DISPLAY ( HIDDEN "EASTER EGG") The parameters have to be set BEFORE the SETUP button is clicked, or they won't have an effect for that run.The SETUP button must be clicked again to reset the model. If the user prefers, instead of clicking STEP twice, they can click RUN once and it will run both steps and then stop.Īfter the model has completed, hitting STEP or RUN has no effect. Summary counts for who stood on each pass are printed at the bottom, along with an evaluation of whether a standing ovation occurred or not. The model computes who will stand on the second pass, and color-codes them yellow. Then the user clicks the STEP button one more time. Those who stood in this pass are now color-coded green. The show Quality is computed, and the Quality and number standing after pass 1 is printed in the Command Center. Then the user clicks the STEP button, and the model computes who will stand up right away for these settings of the parameters. The count of patrons is printed at the bottom, in the "Command Center". The patrons are shown in the theater, color-coded grey to indicate they are seated. The user uses the slider to set the number of patrons attending, possibly changes other parameters using the sliders and switches, or not, and clicks SETUP. In this version of the SOP, no one ever elects to sit down again if very few other people also stood up in step 1. If that percent is above their personal peer-pressure threshold X, even if they originally decided to stay seated, they will now also stand up. Then, in step 2, everyone looks around to see how many people also stood up. Then a new performance occurs, with absolute quality Q.Įach patron has a somewhat different concept of how good they personally thought the performance was, modeled as a signal S, computed as S = Q + error, where errors are randomly selected from a uniform distribution spanning from -E to +E.Įach patron has a somewhat different threshold T for how good a performance has to be for them to stand up on their own. On "setup", the patrons enter the theater and are seated in random locations. This model uses two steps to see if a standing ovation occurs. ![]() Version 1 of this model had a bug which caused all patrons to have the same threshold for standing in pass-2 so either no one stood or everyone stood. The question is, will a "standing ovation" occur - that is, will everyone stand? At the end of the performance, each patron makes a decision to stand up or not. The situation modeled is this: Patrons visit a live performance at the theater. Page uses in his Model Thinking on-line class. This is a very simple implementation of the SOP ( Standing Ovation Problem) that Scott E. Do you have questions or comments about this model?
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