A Biometric for Neurobiology of Influence with Social Informatics Using Game Theory
Mark Rahmes, Kathy Wilder, George Lemieux, Ronda Henning, Carey Balaban
This paper is constructed on the premise that human belief dependent emotions can be triggered by story-telling or narratives. With recent technological advancements to measure neurobiological measurements of the brain, such as functional magnetic resonance imaging (fMRI) and non-invasive brain computing interface (BCI) equipment, these technologies can allow for visualization and data collection of brain activation patterns showing unconsciously controlled responses to narratives or stories. Current game theory application to belief networks has been modeled to help explain observed behavior when material payoffs of others matters to the individual. We discuss a method of how game theory, utilizing communication packet theory, can now be modeled to belief dependent emotions and intentions measured through a new biometric tool correlating neurobiological emotional states and responses.