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Machine Learning and Inference Laboratory Distributed Decision Support in Disruptive Environments

New class of methods is needed to support decision makers in complex and dynamically changing environments. Agent-based simulation combined with human-oriented machine learning provides robustness and efficiency, and at the same time ability to explain reasons for selected plans to decision makers. This makes the method ideal for decision support in healthcare, medicine, security, disaster planning and recovery, and other critical areas.