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Monte Carlo Simulations arrive at their results by introducing randomness, sometimes derived from a physical randomizing device. Nonetheless, we argue, they open no new epistemic channels beyond that ...
Using four examples of models and computer simulations from the history of psychology, I discuss some of the methodological aspects involved in their construction and use, and I illustrate how the exi...
Simulations are not Models     Simulation Model Experiment       font style='font-size:12px;'> 2008/4/21
The aim of this paper is to argue that simulation is the activity of inferring future states. I argue that simulations instantiate models and that models are complexes of representations, so the infe...
This paper is intended as a critical examination of the question of when the use of computer simulations is beneficial to scientific explanations. This objective is pursued in two steps: First, I try ...
The World as a Process: Simulations in the Natural and Social Sciences     Models  idealizations       font style='font-size:12px;'> 2008/4/21
Simulation techniques, especially those implemented on a computer, are frequently employed in natural as well as in social sciences with considerable success. There is mounting evidence that the "mode...
Computer Simulations in Game Theory     Game theory       font style='font-size:12px;'> 2008/4/10
A computer simulation runs a model generating a phenomenon under investigation. For the simulation to be explanatory, the model has to be explanatory. The model must be isomorphic to the natural syste...
Computer simulations are usually considered to be non-explanatory because, when a simulation reveals that a property is instantiated in a system, it does not enable the exact identification of what it...
Bayesian models and simulations in cognitive science     Bayesian models  neuroscience models  cognitive science       font style='font-size:12px;'> 2008/4/1
Bayesian models can be related to cognitive processes in a variety of ways that can be usefully understood in terms of Marr's distinction among three levels of explanation: computational, algorithmic...
Bayesian models can be related to cognitive processes in a variety of ways that can be usefully understood in terms of Marr's distinction among three levels of explanation: computational, algorithmic ...

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