Simulating Belief Propagation Within a Population Via Agent Based Modeling Using NetLogo

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dc.contributor.author McCray, Stephen
dc.date.accessioned 2011-04-19T19:56:21Z
dc.date.available 2011-04-19T19:56:21Z
dc.date.issued 2011-04-19T19:56:21Z
dc.identifier.uri http://hdl.handle.net/2092/1563
dc.description Mentor: David Courard-Hauri en_US
dc.description.abstract An agent-based computer model was designed in NetLogo to study the communication of environmentally relevant scientific information in a heterogeneous society. The roles of uncertainty, expert interpretation, and intentional information selection in the maintenance of false beliefs even when the agent has a personal incentive to hold beliefs that correspond to exogenous reality were studied. The relative importance and power of these influences in the emergence of stable or complex dynamic networks of false belief systems were investigated. In addition, this work has implications for environmental policy and social activism. en_US
dc.description.sponsorship Drake University, College of Arts & Sciences en_US
dc.language.iso en_US en_US
dc.relation.ispartofseries DUCURS 2011;21
dc.subject Belief and doubt en_US
dc.subject Computer networks--Communication systems en_US
dc.subject Reality en_US
dc.subject Interpersonal communication en_US
dc.title Simulating Belief Propagation Within a Population Via Agent Based Modeling Using NetLogo en_US
dc.type Presentation en_US


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  • DUCURS [193]
    Poster sessions and presentation from the Drake University Conference on Undergraduate Research in the Sciences held each April at Olmsted Center on the Drake campus.

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