CoAX Quad Chart

Coalition Agents eXperiment - CoAX
DARPA
DARPA CoABS, AFRL, DERA, Edinburgh/AIAI, Boeing,
Dartmouth, LM-ATL, MIT, OBJS, UMichigan, USC/ISI, UWF/IHMC
With support from BBN, GITI, ISX, MITRE, Schafer and Stanford Univ.
Concept
Agents on the Grid
AODB Agent (LM ATL)
Observer Agents (Dartmouth)
eGents E-mail Agents (OBJS)
Malicious Agents (IHMC, Boeing)
Web Weather Agent (USC/ISI)
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Military Systems
CAMPS (AFRL,GITI, BBN)
MBP (DERA)
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Agent Frameworks
KAoS Agents (Boeing, IHMC)
NOMADS Mobile Agents (IHMC)
EMAA/CAST Agents (LM ATL)
D’Agents (Dartmouth)
eGents (OBJS)
LAN
Grid
LAN
LAN
DARPA
CoABS Grid
(GITI, ISX)
Agent Grid Services
Task and Process Management (AIAI)
Domain Management Services (Boeing, IHMC)
Asynchronous Wireless Connectivity (OBJS)
Plan Deconfliction (Michigan)
Exception Handling (MIT)
Objectives
• Show that an Agent-based C2 framework can
support agile and robust Coalition operations
• Show Domain Management services can structure
agent relationships and enforce coalition policies
• Show Intelligent Task and Process Management
can improve agent collaboration
• Show that the CoABS Grid can be used to rapidly
integrate a wide variety of agents and systems
Accomplishments and Impact
• Demonstrated proof-of-concept C2 coalition architecture
within a realistic coalition scenario
• Connected disparate stand-alone military systems while
taking coalition concerns into account
• Agent organization, behavior, security and resources
managed by explicit coalition policy control
• Potential influence on Joint Battle Infosphere, Joint
Battlespace Digitisation, CINC 21, and Coalition Theatre
Logistics perspectives
• Interest from additional nations in participating
Expected Results
Oct 2000
July 2001
July 2002
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Information gathering for MBP
25 agents in 5 distinct domains
Binni coalition storyboard
Planning and execution phases
45 agents in 7 overlapping domains
Initial packaging of grid services
Realistic Binni Storyboard
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Dynamic event-driven workflow
Dynamic coalition formation
Dynamic coalition scenario
High-level re-usable tools