Paul Scerri, Milind Tambe, Haeyoung Lee, and David Pynadath
To support effective user interaction with complex multi-agent system we are developing a layered Adjustable Autonomy approach that allows users to intervene either with a single agent or with a team of agents. Previous work has in AA has looked at either individual agents or whole teams but not, to our knowledge, a layered approach to AA. The layering of the AA parallels the levels of autonomy existing in human organizations. Technically, the layered approach separates out issues relevant at different levels of abstraction, making it easier to provide users with the information and tools they need to effectively interact with a complex multi-agent system.