Agent-based Computational Economics: Exploring the Evolution of Trade Networks

Описание: As the field of economics seeks to further its understanding of the links between
the micro and macro sides of the area, economists are becoming increasingly
appreciative of agent-based models. Cross-silos approaches to problems are pro-
viding for a new way of thinking about how to explain complex phenomenon in
science. Agent-based modelling provides a novel and effective way of explaining
how such complex systems arrive at macro phenomenon through attempting to
grow said societies. The project that I am undertaking is an extension of the
work completed by Allen Wilhite which is documented in his paper “Bilateral
Trade and Small-world Networks.”
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