One of the most important uses of agent models is for problem-solving coordination. Coordination has been defined as managing the interdependencies among activities, or pragmatically as choosing, ordering, and locating actions in time in an attempt to maximize a possibly changing set of decision criteria. Coordination activities include not only localized agent interactions over specific problems, but also longer-term agent organizations that can support current and future problem-solving activity. Models that support coordination can be divided into three classes: models of other agents' current intended actions, schedules, and/or plans; models of other agents' objectives (desires, goals); and models of other agents' capabilities.

Multidisciplinary University Research Initiative (MURI)
Principal Investigator: Katia Sycara
Sponsored by: Office of Naval Research (ONR)
ONR Contact: Michael Shneier
© 1998 Carnegie Mellon Robotics Institute