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SBE 2020: Submission Detail

ID Number: 219
Title: The Evolution of Natural Computation, Behavior, and Instinct, and the Need for Mathematical Modeling and Mathematical Literacy in the Social, Behavioral, Cognitive, and Economic Sciences
Lead Author: Mitchener, William G
Abstract: There is a significant gap between existing knowledge of natural behavioral computation, and the biochemistry of how a brain performs such calculations. For example, linguists can describe human languages, but little is known about how the brain performs the relevant computations in a social context. There is also a gap between abstract models of evolutionary theory and the mechanics of gene interpretation into computing organs. That is, although there are models of how language might be favored by natural selection, the intermediate steps leading to human-like communication instincts are not known. Researchers in the fields of social, behavioral, cognitive, and economic sciences can contribute to filling this gap by working in conjunction with mathematicians to formulate and study models and simulations. To do so, these fields will need become more open to unconventional mathematical methods, engage in interdisciplinary projects with mathematicians and computer scientists, and develop more mathematical expertise among their practitioners. I summarize an example interdisciplinary project on the evolution of serial coding, and suggest mathematical subtopics of particular use for modeling in these fields. I recommend that support be given to interdisciplinary projects, workshops, publications, and educational programs.
PDF: Mitchener_William_219.pdf

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