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This simulation models how social networks can influence the flow and reliability of information in inquiry. In the model, heterogeneous agents--driven, to varying degrees, by the competing priorities of accuracy and of conformity to one’s peers--share public opinions. Agents learn, via Bayesian conditionalization, both from private signal from …

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This simulation models how social networks can influence the flow and reliability of information in inquiry.

In the model, heterogeneous agents--driven, to varying degrees, by the competing priorities of accuracy and of conformity to one’s peers--share public opinions.

Agents learn, via Bayesian conditionalization, both from private signals from nature, and from the public declarations of other agents.

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This simulation models how social networks can influence the flow and reliability of information in inquiry. In the model, heterogeneous agents--driven, to varying degrees, by the competing priorities of accuracy and of conformity to one’s peers--share public opinions. Agents learn, via Bayesian conditionalization, both from private signal from …

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