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Learning Opinions by Observing Actions: Simulation of Opinion Dynamics Using an Action-Opinion Inference Model
By: Tanzhe Tang, Caspar G. Chorus, Volume 22 (3)
Abstract: Opinion dynamics models are based on the implicit assumption that people can observe the opinions of others directly, and update their own opinions based on the observation. This assumption significantly reduces the complexity of the process of learning opinions, but seems to be rather unrealistic. Instead, we argue that the opinion itself is unobservable, and that people attempt to infer the opinions of others by observing and interpreting their actions. Building on the notion of Bayesian learning, we introduce an action-opinion inference model (AOI model); this model describes and predicts o ...