On Stable Multi-Agent Behavior in Face of Uncertainty
  A stable joint plan should guarantee the achievement of a designer's goal in
a multi-agent environment, while ensuring that deviations from the prescribed
plan would be detected. We present a computational framework where stable joint
plans can be studied, as well as several basic results about the
representation, verification and synthesis of stable joint plans.
