Policy-Governed Secure Collaboration

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Visible to the public Trust, Recommendation Systems, and Collaboration

Our goal is to develop a transormational framework for a science of trust, and its impact on local policies for collaboration, in networked multi-agent systems. The framework will take human bahavior into account from the start by treating humans as integrated components of these networks, interacting dynamically with other elements.