Introduction:

Founded in 2003 and directed by Professor Anita Raja, the Distributed Artificial Intelligence Research (DAIR) Lab focuses on the design and development of intelligent single and multi-agent systems. Lab members pursue research in distributed computing, convention formation, cascading risks, clinical informatics, computational monitoring and control, complex networks, machine learning, resource-bounded reasoning, and reasoning under uncertainty.

As embedded systems with collaborating agents become increasingly pervasive, these agents must adapt to dynamic, open environments. Effective adaptation requires prioritizing tasks, assessing resource availability, and identifying alternative strategies to meet current and future goals. A unifying theme in DAIR Lab research is the development of strategies that enable agents not only to adapt intelligently but also to reason about when and how much to adapt.

This interdisciplinary work includes collaborations with researchers in biology, cognitive science, cybersecurity, electrical engineering, genetics, intelligence analysis, medicine, software engineering, political science, urban planning, and visual analytics.

Current and Past Research Projects

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