Coalition Agents eXperiment - The Coalition TIE - PowerPoint PPT Presentation

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Coalition Agents eXperiment - The Coalition TIE

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Lockheed Martin ATL, Michigan, MIT Sloan, USC/ISI, UWF/IHMC ... Supports different kinds of queries: one shot, update, and persistent. ... – PowerPoint PPT presentation

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Title: Coalition Agents eXperiment - The Coalition TIE


1


CoAX Technology Contributions TTCP Meeting -
Malvern - November 2000 AFRL Rome, AIAI, Boeing,
Dartmouth, DERA Malvern, Lockheed Martin ATL,
Michigan, MIT Sloan, USC/ISI, UWF/IHMC Support
from BBN, GITI, ISX, MITRE, Schafer,
Stanford Coalition Agents eXperiment
(CoAX) http//www.aiai.ed.ac.uk/project/coax/
2
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3
Technical Contributions
  • GITI - CoABS Grid Infrastructure
  • Boeing and UWF/IHMC- KAoS Domain Management
  • AIAI Process Panel - Task and Process Management
  • DERA Master Battle Planning
  • LM ATL EMAA/CAST AODB - Restricted Data Base
    Access
  • AFRL/BBN/GITI CAMPS - Air Logistics Support Tool
  • USC/ISI Ariadne - Open Information Access
  • UWF/IHMC - NOMADS safe and secure mobile agents
  • Stand alone demonstrations at 9 months
  • MIT Robustness Services
  • Dartmouth Observer Agent
  • Michigan Coordination Planning Aid

4
GITI/ISXThe CoABS Grid
  • The CoABS/Infrastructure code provides a
    framework for integrating diverse agent-based
    systems, and provides additional common services.
  • The Grid allows agents to find services and other
    agents so that agent teams can be dynamically
    formed to solve context-based tasks.
  • The Grid is built using JiniTM technology. Direct
    agent communication is provided using message
    queues built on JAVA RMI. Grid Logging Markup
    Language based on XML.

5
Prototype Grid Architecture
  • Interoperability of distributed, heterogeneous
    objects, services, and multi-agent systems.
  • Registration and advertisement of capabilities.
  • Discovery of relevant participants, and flexible
    run-time communications.
  • Current Grid services include Logging,
    Visualization, Security, Instrumentation,
    Communication, Registration, and Event Services.

6
Boeing/UWF - Agent Domains
DM
An agent domain consists of one or more agents
registered with a common Domain Manager which
provides for common administration and
enforcement of domain-wide, platform-specific,
and agent-specific policies.
7
Agent Domain Management in CoAX
  • Broadens typical distributed security concerns to
    include
  • Communication and access management Who can
    communicate with whom for what services?
  • Registration management Who can join the domain
    under what circumstances?
  • Resource management Who can have which kind and
    how much of a given computing resource?
  • Mobility management Who can move where under
    what circumstances?
  • Conversation management What constraints govern
    interaction between conversing agents?
  • Obligation management Who is not meeting
    commitments?

Initial capability shown in six-month
demo Initial capability slated for nine-month
demo Initial capability slated for 2001-2002 demos
8
Policy Admin Tool
Policy Management Framework
Authorized user makes changes over the Web
KAoS Domain Manager
1. Ensures policy consistency at all
levels 2. Stores policy changes 3. Notifies guards
HTTP
RMI
Servlet
Event-driven policy changes
RMI
JNDI
Policy Directory
Other
Guard
Aroma VM
Guard
Java VM
Guard
Agent
Native Mech
Agent
Agent
Agent
Agent
Agent
Native Mech
1. Abstract, mechanism- neutral
representation/XML syntax (DAML
collaboration) 2. Distributed networked
availability 3. Secure
Guard is responsible for 1. Interpreting
policy 2. Enforcing with appropriate native
mechanism
9
KAoS Policy Admin Tool
10
AIAI I-X Process Panel
  • Initially maintains an overview of the current
    status the coalition C2 processes in accessible
    shared military terms.
  • Later adds the ability to monitor, plan and
    control the coalition C2 processes.
  • Can take on and address issues in the C2
    process.
  • Links to and assists with domain management,
    authority, exception management and other Grid
    management services.
  • To be packaged as generic task and process
    management facilities that can be made available
    to other Grid applications.

11
AIAI I-X Process Panel
12
DERAMaster Battle Planner
  • Visual planning tool for air operations.
  • Map-based graphical user interface - operator
    builds scenario and air missions using simple
    dialogs and point and click techniques.
  • Analyzes plans (identifying over-tasking, GANTT
    charts, animated flyout facility)
  • Obtains data on targets and assets from other
    agents.
  • Integrates air missions (e.g. air transport) and
    weather forecasts from other agents into the air
    visualisation.
  • Informs AIAIs Process Panel of current planning
    status.

13
DERAMaster Battle Planner
14
DERAMaster Battle Planner
15
AFRL/GITI/BBNCAMPS Mission Planner
  • Develops schedules for aircraft to pick up and
    deliver cargo within specified time windows.
  • Takes into account a large number of constraints
    (aircraft port capabilities, crew availability,
    work schedule rules)
  • Can be tasked by other agents.
  • Domain-aware agent obtains scheduled air
    transport flights and forwards them to Master
    Battle Planner for integration into the air
    visualisation.

16
AFRL/GITI/BBNCAMPS Mission Planner
17
USC/ISI Ariadne Weather Agent
18
LM ATL EMAA/CAST AODB Access Agent
  • Provides access to AODB via XML formatted Grid
    messages.
  • Supports different kinds of queries one shot,
    update, and persistent.
  • Will be evolving EMAA/CAST technology to create a
    deliverable generic Grid-aware core agent engine
    to other end users. This technology will be
    configurable and is intended to easily allow
    access to alternative sources.

19
LM ATL EMAA/CAST AODB Access Agent
20
Lm ATL EMAA/CAST AODB Access Agent
21
USC/ISI Open Information Access
  • Provide real-time access to Web data sources
  • Tools for learning wrappers to extract data for
    semi-structured sources
  • Agents learn the structure of data to support
  • Source verification
  • automatically detect when the source no longer
    provides correct data (possibly because the
    source has changed)
  • Source reinduction
  • automatically revise wrapper when site change

22
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23
Resource Control and Security in NOMADS
  • Dynamic and fine-grained resource control
  • NOMADS enforces security policies specified by
    the KAoS domain manager
  • Security policies include limits on CPU, disk,
    and network resource usage
  • Resource consumption monitoring
  • NOMADS Guard constantly monitors the resource
    consumption of the GAO agent
  • When the guard detects a potential denial of
    service, the guard reduces the resource limits
    available to the GAO agent

24
Resource Control and Security in NOMADS
Aroma VM
G
GAO
DAO
25
Field Observations (Dartmouth)
  • Team of soldiers
  • PDAs
  • Ad-hoc wireless networking
  • Soldiers make observations.
  • Ground traffic
  • Air traffic
  • Personnel and equipment
  • Buildings and other structures
  • Observations are fed into battle-planning systems
    (e.g., MBP) through the CoABS Grid.
  • In the demo, a team of CoAX soldiers will make
    observations to correct Gao mis-information.

26
Field Observations (Dartmouth)
I see a tank!
Query/ Response
Observation Viewer
(9-month demo - standalone)
Registration/ Update Stream
MBP
(18-month demo - integrated)
Observations
27
MIT Robustness Service
  • The Challenge
  • Open systems (like coalitions) include unreliable
    agents (bugs, malice) and infrastructures
  • The MIT Robustness Service
  • Monitors agent health via polling
  • Tracks inter-agent commitments
  • Controls task cancellation, result caching task
    re-announcement
  • Maintains reliability information (failure
    avoidance)
  • Informs registry of hung agents

28
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29
Michigan Multilevel Coordinator Agent
  • Analyses the alternative plan spaces of coalition
    functional teams that plan independently and act
    asynchronously
  • Works top-down with plans chosen by teams to
    predict unintended interactions (resource
    contentions friendly fire).
  • Identifies candidate resolutions (timing or
    action constraints).
  • Notifies process panel of possible plan
    conflicts and computed workarounds.
  • Operationalizes/enforces coordination decisions
    selected.
  • Given more time, isolates and resolves conflicts
    more precisely and efficiently.
  • Allows planning and coordination decisions to be
    postponed until runtime conditions become better
    known.
  • Packaged as a Grid-aware component that can be
    proactively executing and utilized by the AIAI
    Process Panel.

30
Michigan Multilevel Coordinator Agent
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