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

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 [190]
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.