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It would be useful to incorporate observation error into the simulations more directly. This could be affected by one or more variables attached to each agent, which would potentially cause the mis-identification (e.g., incorrect return of seeme) or mis-labelling (incorrect traits read into the observation array) of resources. This could be done in either of two ways:
Cause the errors to happen in 'real time' -- that is, while the observations are happening in the simulation. This would probably be slightly inefficient, but have the benefit of being able to assign errors specifically to agents more directly.
Wait until the resource_array is marked in the observation function, then introduce errors to the array itself, including errors to whether or not resources are recorded and what their trait values are. These errors would then be read into the obs_array, which is returned by the function.
The text was updated successfully, but these errors were encountered:
It would be useful to incorporate observation error into the simulations more directly. This could be affected by one or more variables attached to each agent, which would potentially cause the mis-identification (e.g., incorrect return of
seeme
) or mis-labelling (incorrect traits read into the observation array) of resources. This could be done in either of two ways:Cause the errors to happen in 'real time' -- that is, while the observations are happening in the simulation. This would probably be slightly inefficient, but have the benefit of being able to assign errors specifically to agents more directly.
Wait until the
resource_array
is marked in theobservation
function, then introduce errors to the array itself, including errors to whether or not resources are recorded and what their trait values are. These errors would then be read into theobs_array
, which is returned by the function.The text was updated successfully, but these errors were encountered: