The Distributed Artificial Intelligence
Research Laboratory is part of the Department of Software and Information
Systems at the University of North
Carolina at Charlotte. The lab, directed by Professor Anita Raja, is concerned with
the design and development of reasoning techniques for resource-bounded
single and multi-agent systems. Lab members conduct research in
meta-cognition, monitoring and control of computation, safety in
multi-agent systems, reinforcement learning, resource-bounded reasoning,
and reasoning under uncertainty.
Research Projects
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Meta-Cognition in Software Agents
Coordinated Meta-level Control
COORDINATORs
(Honeywell/DARPA-IPTO)
A Reinforcement Learning Approach for Meta-level Control
Agent Scheduling and Planning
Robust Agent Control
Analytical Reasoning
Visual Analytics
(PNL/DHS)
Introspection in Analytical Agents
Information Gathering
Multi-agent Systems in Networks
WLAN Management using MAS (NSF)
Predictive Protocol Management in Sensor Networks
Risk Management in Multi-agent Systems
Mathematical Analysis of Uncertainty Propagation in Agent
Control
Safety
in Multi-Agent Systems
MultiAgent Coordination
Intelligent Home Environment
Generic
Coordination Strategies for Agents