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Knowledge Discovery & Informatics

Social-Behavioral Modeling

Social-Behavioral Modeling 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. Theories of group and individual behavior are used to inform the interactive creation and validation of complex competing scenarios. This multidisciplinary approach to predictive modeling integrates statistical machine learning and artificial intelligence-based algorithms for computing inference, interactive visualization, content analysis/information extraction, domain modeling, and structured argumentation.

Science and Technology Initiatives and Core Compentencies


Representative Projects

Knowledge Discovery & Informatics at PNNL

Scientific Foundations

Capabilities

Contact

Antonio P. Sanfilippo, Ph.D.
509/375-2677