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Andrew Gillreath-Brown, J. Lim, H. Šiljak
0 2019.

Simulating Dystopian Worlds: A Sci-Fi Agent-based Modeling Anthology

Science fiction is immensely popular, particularly over the last two decades where over half of the top domestic grossing movies of the 2010s were science fiction. Many scientists also share this enthusiasm for Sci-fi, including the authors, so why not apply various research techniques to different Sci-fi worlds? We want to create a Sci-fi computational community, where we can explore different worlds and understand how different phenomena emerge in these worlds. Sci-Fi Agent-based Modeling Anthology is an open-source and fully volunteer-based project; thus, we also hope to find new collaborators who can take on different stories with their unique approach. The participants explore their favorite science fiction stories with new mediums like agent-based modeling or even differential equations. We believe that this project will get the attention of a new audience and bring them into the science fiction genre. Here, we explore our favorite science fiction stories (i.e., Fahrenheit 451 and 1984) with new mediums and hope to bring them to a new audience. We hope that the application of computational complexity science to these Sci-fi dystopian worlds will help us to learn more about our own world, our own histories, or even future potential trajectories. For example, how easily could our society turn into a 1984 world or vice versa? These models give you a sense of control, where you can change the variables. Therefore, you are no longer passively watching science fiction, but you are actively engaging in it, you are changing it, seeking to understand something meaningful.

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