Research
The Multi-Agent Coordination Research Group at ISI is engaged in research and development of multi-agent systems that facilitate coordination problems involving human, robot and software agents. These problems arise in business (project planning and management), emergency response (large-scale disaster rescue) and military (joint forced operations) domains among others. These problems often include distributed planning, scheduling and resource allocation problems in uncertain and dynamic environments.
One thrust is the development of decision support assistants that enable users to dynamically adapt their plans in response to change. Research problems addressed by the group include distributed coordination over large interconnected mission structures that change dynamically, supporting coordination of large-scale operations where units may have multiple potential roles, learning to support the units better by automating decision making when data is potentially sparse, building front-end visualizations for complex simulations and large amounts of data, and reasoning about decision-making policies and procedures during coordination.
The research interests and background of the Multi-Agent Coordination group at ISI spans a wide range of areas including:
- Multi-Agent Systems
- Large-Scale Coordination
- Automated Planning
- Intelligent Scheduling
- Probabilistic Reasoning
- Mixed-Initiative Frameworks
- Software Visualization Systems
- Intelligent User Interfaces
- Game-Theoretic Analysis
- Decision-Theoretic Models
- Market-Based Mechanisms
- Privacy Protection in Collaboration
