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Group Formation Theory at Multiple Scales

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Doyle, Casey L.; Naugle, Asmeret B.; Bernard, Michael; Lakkaraju, Kiran; Kittinger, Robert; Sweitzer, Matthew D.; Rothganger, Fredrick R.

There is a wealth of psychological theory regarding the drive for individuals to congregate and form social groups, positing that people may organize out of fear, social pressure, or even to manage their self-esteem. We evaluate three such theories for multi-scale validity by studying them not only at the individual scale for which they were originally developed, but also for applicability to group interactions and behavior. We implement this multi-scale analysis using a dataset of communications and group membership derived from a long-running online game, matching the intent behind the theories to quantitative measures that describe players’ behavior. Once we establish that the theories hold for the dataset, we increase the scope to test the theories at the higher scale of group interactions. Despite being formulated to describe individual cognition and motivation, we show that some group dynamics theories hold at the higher level of group cognition and can effectively describe the behavior of joint decision making and higher-level interactions.

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Recommended Research Directions for Improving the Validation of Complex Systems Models

Vugrin, Eric; Trucano, Timothy G.; Swiler, Laura P.; Finley, Patrick D.; Flanagan, Tatiana P.; Naugle, Asmeret B.; Tsao, Jeffrey Y.; Verzi, Stephen J.

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Using computational modeling to examine shifts towards extremist behaviors in European diaspora communities

Advances in Intelligent Systems and Computing

Naugle, Asmeret B.; Bernard, Michael

We created a simulation model to investigate potential links between the actions of violent extremist organizations (VEOs), people in the VEO’s home country, and diaspora communities from that country living in the West. We created this model using the DYMATICA framework, which uses a hybrid cognitive system dynamics modeling strategy to simulate behaviors based on psycho-social theory. Initial results of the model are given, focusing on increases to VEO funding and recruiting resulting from an invasion of the VEO’s home country. Western intervention, prejudice, and economic drivers are also considered.

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Complex Systems Models and Their Applications: Towards a New Science of Verification, Validation & Uncertainty Quantification

Tsao, Jeffrey Y.; Trucano, Timothy G.; Kleban, Stephen; Naugle, Asmeret B.; Verzi, Stephen J.; Swiler, Laura P.; Johnson, Curtis M.; Smith, Mark A.; Flanagan, Tatiana P.; Vugrin, Eric; Gabert, Kasimir G.; Lave, Matt; Chen, Wei; Delaurentis, Daniel; Hubler, Alfred; Oberkampf, Bill

This report contains the written footprint of a Sandia-hosted workshop held in Albuquerque, New Mexico, June 22-23, 2016 on “Complex Systems Models and Their Applications: Towards a New Science of Verification, Validation and Uncertainty Quantification,” as well as of pre-work that fed into the workshop. The workshop’s intent was to explore and begin articulating research opportunities at the intersection between two important Sandia communities: the complex systems (CS) modeling community, and the verification, validation and uncertainty quantification (VVUQ) community The overarching research opportunity (and challenge) that we ultimately hope to address is: how can we quantify the credibility of knowledge gained from complex systems models, knowledge that is often incomplete and interim, but will nonetheless be used, sometimes in real-time, by decision makers?

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Results 26–50 of 103
Results 26–50 of 103