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The results show that the elimination of observations near the beginning of the simulation reduces bias, as intended, but increases the variance, sometimes ...
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Early simulation users recognized the possibility of 'bias' in experimental results due to initial condi- tions and suggested methods to reduce its influence.
Early simulation users recognized the possibility of 'bias' in experimental results due to initial condi- tions and suggested methods to reduce its influence.
This paper uses a first-order autoregressive scheme to investigate the effects of initial conditions in a simulation on the estimation of the population ...
Sep 7, 2021 · For some learner groups, more relat- able forms of bias (such as gender bias) can be used as stepping stones to a deeper consideration of race.
Missing: Experiments. | Show results with:Experiments.
By George S. Fishman; Abstract: This paper uses a first-order autoregressive scheme to investigate the effects of initial conditions in a simulation.
Feb 11, 2024 · To prevent biased simulations, use diverse, representative data, detect and mitigate biases, establish ethical guidelines, engage diverse teams and ...
Missing: Considerations Experiments.
Sep 28, 2022 · This paper presents an interdisciplinary framework on “perspective-taking” that can be used to explore mechanisms of implicit bias, bias mitigating strategies, ...
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Bias considerations in simulation experiments ; 1972 · Fishman, George S. · Operations research. - Catonsville, MD : INFORMS, ISSN 0030-364X, ZDB-ID 123389-0. - ...
In this study, we highlight the limitations of LLMs in simulating human interactions, particularly focusing on LLMs' ability to simulate political debates.