Simulation of the PCS-Network Model of Risky Choice
This GUI allows you to simulate the Parallel-Constraint Satisfaction network model of risky choice for gambles with two options (Glöckner & Herbold, 2010).
You can input the outcomes and probabilities of Gamble a and b for each Option 1 and 2. You can also change the default values for the properties of the PCS model.
Under the tab 'Prediction', predictions for choice, decision time, and confidence are displayed; under the tab 'Final Iterations' ('All Iterations'), energy, activations for all nodes for the final (all) iteration(s), and the number of iterations are displayed; under the tab 'Plot', activations for all nodes over iterations are plotted; under the tab 'Download', you can download the entire prediction matrix as a csv-file.
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Input properties of gambles:
Outcome Gamble a Option 1:
Outcome Gamble a Option 2:
Outcome Gamble b Option 1:
Outcome Gamble b Option 2:
Probability Gamble a Option 1:
Probability Gamble b Option 1:
Change default values of PCS parameters:
Factor for Weights Outcomes W_O
Factor for Weights Probabilities W_P
Decay of activations:
Option inhibition:
Maximum activation of nodes (i.e., ceiling):
Minimum activation of nodes (i.e., floor):
Constant activation of driver node V:
Prediction
Final Iteration
All Iterations
Plot
Download
Download Prediction