Teams of people need to coordinate in real-time in many dynamic and uncertain domains. Examples include disaster rescue, hospital triage, and military operations. It is possible to develop plan a priori, but many parts of these plans must be left unspecified because people won't know exactly what needs to be done until they are executing the plan in the field. Additionally, requirements and tasks can evolve during execution. Our work addresses a fundamental multi-agent systems endeavor of creating decision support systems that help humans perform better in these domains. The technical challenges to compute good solutions for these problems have been well documented [1, 2, 3].
['Rajiv T. Maheswaran', 'Craig Milo Rogers', 'Romeo Sanchez', 'Pedro A. Szekely']
Decision-support for real-time multi-agent coordination