Ranges and the Monte Carlo method
When variables are in the format of a range (e.g. 0 to 100, uniform(0,100), a
is run to estimate the possible outcomes of an uncertain event. Monte Carlo will randomly pick a value from the distribution and compute the whole model as if it were that random constant value. This process is repeated multiple times to generate distributions for the output variables.
The use of the simulation allows Causal to perform computations using values with uncertainty that are not possible without it. Due to this method of handling uncertainty, you may notice that the range of the cell and the value are not the numbers you inputted or would expect, but only by a trivial amount.
Rafi Khan02/22/2024, 9:44 PM
Mattia Fregola02/23/2024, 12:55 AM
Prabhanshu Gupta02/23/2024, 6:24 AM
Lu Wilson02/23/2024, 8:09 AM
Prabhanshu Gupta02/23/2024, 8:24 AM
Lu Wilson02/23/2024, 8:26 AM
Prabhanshu Gupta02/23/2024, 8:30 AM
Lu Wilson02/23/2024, 8:33 AM
Prabhanshu Gupta02/23/2024, 8:38 AM
Lu Wilson02/23/2024, 8:41 AM
This is not representing physical memory
i would challenge that :) it's a 'representation', not a photo, so it doesn't need to be accurate. I'm not interested in accurately depicting memory - i want to visualise it in a helpful way, even if that involves lies
Prabhanshu Gupta02/23/2024, 8:43 AM
i want to visualise it in a helpful way, even if that involves liesHaha I see. That is an interesting problem.
Lu Wilson02/23/2024, 8:54 AM
Mattia Fregola02/24/2024, 2:38 AM