Creating Perceptual Uncertainty in Agent-based Models with Social Interactions
Published: Jan 1, 2020
Abstract
Simple Agent-Based Models (ABMs) of social influence assume that agents can perfectly discriminate between the actions of their peers or implicitly agree on a population-wide definition of states such as 'healthy' or 'unhealthy'. In reality, mistakes are a part of being human and incorrectly estimating the state of a peer is no exception. For instance, experimental studies show that whether we find a food 'healthy' also depends on the body size...
Paper Details
Title
Creating Perceptual Uncertainty in Agent-based Models with Social Interactions
Published Date
Jan 1, 2020
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