Exploring social discrimination with artificial life

Authors
Reedy, Cara
ORCID
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Other Contributors
Hendler, James A.
Si, Mei
Sun, Ron, 1960-
Spector, Lee, 1963-
Issue Date
2020-12
Keywords
Cognitive science
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
The aim of this dissertation research was to begin approaching a larger goal of studying social discrimination showing the experimental potential of artificial life simulation in exploring problems involving both genetics and social behavior. Artificial life simulations can be used to conduct experiments that cannot be carried out on real humans, are easily manipulated and repeated, can collect detailed genetic data, and have an accelerated time-scale that can be used to study effects over many generations.The first stage of this research was the creation and initial testing of an artificial life package capable of multiple kinds of environments, Garden, and a custom genetics package, DGEANN, which supports multiple genetic models. Experimentation showed that diploid genetics worked well in Garden and were used for the following experiments. In the second stage, pilot studies began introducing social behavior involving family relationships and inbreeding, focusing on how mating behavior and inbreeding avoidance influenced the population's genetic diversity, behavior, and long-term survival. In the last stage of the research presented here, mating choice and preference for similar or dissimilar mates was examined as a simple form of discrimination. Mate similarity preferences evolved in environments that included genetic disorders and migration to another population, which influenced the direction in which those preferences evolved. The higher migration level led to agents preferring more similar mates, as did the higher initial percentage of genetic disorder carriers. The artificial life simulation shown in this work can be applied to other real-world problems involving both social and genetic components.
Description
December 2020
School of Humanities, Arts, and Social Sciences
Department
Dept. of Cognitive Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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