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Cooperative Information Sharing Among Mixed-Initiative Human/Agent Teams

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Mark H. Burstein and David E. Diller. BBN Technologies. 10 Moulton Street. Cambridge, MA 02138. burstein, ddiller_at_bbn.com. The Problem ... – PowerPoint PPT presentation

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Title: Cooperative Information Sharing Among Mixed-Initiative Human/Agent Teams


1
Cooperative Information Sharing Among
Mixed-Initiative Human/Agent Teams
  • Mark H. Burstein and David E. Diller
  • BBN Technologies
  • 10 Moulton Street
  • Cambridge, MA 02138
  • burstein, ddiller_at_bbn.com

2
The Problem
  • In mixed human/agent organizations, complex tasks
    are frequently distributed (by humans) across
    coordinated teams of actors.
  • Information gathered by one tasked agent may be
    needed by another
  • This may have been part of an explicit or
    implicit plan, or the information may have been
    acquired serendipitously during execution.
  • Must the user describe these dependencies as part
    of tasking the agents or can they find each other
    dynamically?

3
Sharing Plans/Goals vs. Information Needs
  • Previous approaches to this kinds of team
    coordination focused on sharing plans or
    intentions among team members, and reasoning
    primarily about whether an agents observations
    implied other agents goals had succeeded/failed
    (which it would tell them)
  • TEAMCORE (Tambe 97)
  • Shared Plans (Grosz and Kraus 96, 99)
  • Shared Intentions (Cohen, Levesque 91, 97)

4
A Simple Example
  • Dispatcher sends helicopter across town to survey
    site of an accident (x)
  • Simultaneously, sends an ambulance to treat
    wounded.
  • En route, helicopter sees that primary route for
    ambulance is blocked by traffic.
  • How does it decide to send that information to
    the ambulance without further direction from the
    dispatcher?

Dispatcher

x
5
A Question of Which/How much information?
  • Given that the tasks delegated to each agent are
    known (partially shared goals/plans), must still
    decide
  • Which information is helpful to the other agent
    for planning or during execution
  • What information does the other agent already
    have (or can observe).
  • Catch-22 is that the plans the agents generate
    can be impacted by the information to be (but as
    yet) provided by their teammates. (So they may
    not even know precisely what to ask for.)

6
Coordinating Future Information Sharing
  • Approach is to establish shared knowledge of
    future agent information needs/capabilities by
    word of mouth message dissemination.
  • Information Requirement (IR) announcements
    describe classes of information (query patterns)
    that an agent will require to plan or achieve an
    intention.
  • Information Provision (IP) announcements describe
    information that an agent has or anticipates
    being able to provide as a result of its intended
    future actions.

7
Coordinating Information Goals Related to
Intentions
  • When a new intention (to act or plan) is formed
    by an agent
  • Announce information needs (IR) to local
    teammates.
  • Announce expectations of future knowledge gained
    by observations made during the planned activity
    (IP)
  • If agent has a need and receives an IP, subscribe
    to the agent issuing the IP announcement.
  • If agent has information covered by an
    outstanding IR announcement or subscription, send
    the information.

8
Dynamic Information Sharing

9
Improved Robustness
  • IP/IR protocols go beyond publish/ subscribe in
    that expectations of future knowledge (based on
    intentions) is the basis for coordination
  • IP and IR announcements reduce the cognitive
    load on agents to infer what information will be
    wanted or available from particular other agents.
  • Information Brokers can be established
    dynamically using IP/IR protocols to act as
    information coordinators for specific team plans.

10
For more information
  • Burstein, M.H. and Diller, D. E., A Framework
    for Dynamic Information Flow in Mixed-Initiative
    Human/Agent Organizations. To appear in Applied
    Intelligence, 2003.

This work supported by DARPA contracts in the
Control of Agent-based Systems (CoABS) and
Mixed-Initiative Control of Automateams (MICA)
programs.
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