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Navy Warfare Development Command |
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12 February 2002 |
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Describe the mission of the Navy Warfare
Development Command |
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Describe the Transformation Journey NWDC &
partners has been on to deliver actionable and confirmable information to
the warfighter from sensors and data sources while reducing manpower |
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Highlight potential opportunities for DAML and
NWDC collaboration |
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Tens of thousands of distributed sensors,
networked to exploit new target phenomenology and discriminates |
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Management of distributed resources and
processes |
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Autonomous systems and processes |
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Complex and dynamic environment |
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Rapidly moving data to actionable and
confirmable information while reducing manpower |
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Data and information access and characterization
(syntax and semantic) |
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Data manipulation and fusion |
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Information representation and presentation |
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Sufficient level of validation of ESG Agent
Based Computing concept to establish broad acceptance in the Naval and DOD
community. |
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Information centric systems based on ABC
provides dramatically improved capabilities for achieving information
superiority. |
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ABC provides a robust architecture for netting
real sensors and systems |
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ABC demonstrates positive contribution to
operating highly distributed sensors, data bases, and information systems
to support the warfighter |
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Agent based computing can form the basis of
an infrastructure that will enable the delivery of actionable and
confirmable information to the warfighter from large numbers of
heterogeneous sensors and systems while reducing manning. |
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Can semantic approaches better facilitate the
identification, retrieval, and manipulation of data and information? |
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Can computer agent, publish and subscribe, and
fuselet approaches better facilitate the delivery of data and information
to the appropriate end user? |
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Can semantic approaches and ABC reduce manning,
while delivering needed information to the appropriate end user? |
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Are the FY01 CoABS Grid interoperability and
dynamic reconfiguration results extensible to real (operational) sensors,
data bases, and applications? |
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Can semantic and ABC approaches improve data
aggregation and fusion? |
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Time of event |
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Sensor location |
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Direction to event |
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Event description |
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Frequency |
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Level |
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Sensor error model |
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Notes