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Pseudorandomness in Simulations and Nature

Abrams, Marshall (2021) Pseudorandomness in Simulations and Nature. In: UNSPECIFIED.

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Abstract

Pseudorandom number generating algorithms play crucial roles in computer modeling and statistical modeling, but they have received little attention from philosophers of science. I revisit an argument that the success of practices in evolutionary biology using such algorithms in computer simulations provides evidence that evolutionary processes incorporate objective probabilities. I discuss the kind of stochasticity that pseudorandom number generators provide--what I call "pseudochance"--and argue that the argument from simulation practice, as well as other arguments, supports the view that evolutionary processes incorporate pseudochance. I suggest that similar arguments might be given in other domains of science.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Abrams, Marshallmabrams@uab.edu0000-0003-4749-1671
Keywords: probability, models, simulation, statistics, biology, evolution
Subjects: General Issues > Scientific Metaphysics
Specific Sciences > Biology > Evolutionary Theory
Specific Sciences > Computer Science
General Issues > Computer Simulation
General Issues > Models and Idealization
Specific Sciences > Probability/Statistics
Depositing User: Marshall Abrams
Date Deposited: 12 Nov 2021 04:05
Last Modified: 12 Nov 2021 04:05
Item ID: 19834
Subjects: General Issues > Scientific Metaphysics
Specific Sciences > Biology > Evolutionary Theory
Specific Sciences > Computer Science
General Issues > Computer Simulation
General Issues > Models and Idealization
Specific Sciences > Probability/Statistics
Date: 9 November 2021
URI: http://philsci-archive.pitt.edu/id/eprint/19834

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