Social-Behavior Modeling
Social-Behavioral Modeling and Analytics aids strategic decision-making by using observed and inferred indicators of group and individual behaviors to model and assess competing hypotheses about human intentions and goals. It uses theories of group and individual behavior to inform the interactive creation and validation of complex competing scenarios. It adopts a multidisciplinary approach to predictive modeling that integrates statistical machine learning and artificial intelligence-based algorithms for computing inference, interactive visualization, content analysis/information extraction, domain modeling and structured argumentation.
For more information, contact Antonio Sanfilippo at (509) 375-2677.
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