Agent-Based Team Aiding

Flexible functional role allocation between agents and human team members is a crucial issue in effectively supporting teamwork. The RETSINA agents support all dimensions of team work in multiple ways.

  1. Agent-Based Support for Team Situation Assessment
    • act as an information provider
    • ensure relevant knowledge is exchanged among all members
    • provide shared representation of the situation to support common knowledge
    • remind team members if pertinent information is currently ignored
    • tell team members when information source is disabled/unreliable
  2. Agent-Based Enhancement of Team Supporting Behaviors
    • make visible others' actions and decisions so that potential errors can be detected
    • recognize deviations to current plans
    • alert members to potential errors, constraints and conflicts
    • support team self-reflection and self-correction
  3. Agent-Based support for Team Leadership/initiative
    • communicate intent behind commands to allow lower levels to meet intent under evolving conditions
    • communicate priorities and notify members when priorities change
  4. Agent-Based Support of Communication among Team Members
    • alert members to ambiguity
    • support translations of terminology among various subgroups
    • serve as a repository for messages between team members
      • e.g., audio to text so information is not lost
      • support self-awareness and debriefing
      • enable data mining/learning
    Different types of team aiding by agents have been experimentally tested with human subjects.

    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

Carnegie Mellon School of Computer Science Carnegie Mellon Robotics Institute DefenseLINK Office of Naval Research MURI Welcome University of Pittsburgh School of Information Sciences