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Proceedings Paper

Autonomous self-organizing resource manager for multiple networked platforms
Author(s): James F. Smith
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Paper Abstract

A fuzzy logic based expert system for resource management has been developed that automatically allocates electronic attack (EA) resources in real-time over many dissimilar autonomous naval platforms defending their group against attackers. The platforms can be very general, e.g., ships, planes, robots, land based facilities, etc. Potential foes the platforms deal with can also be general. This paper provides an overview of the resource manager including the four fuzzy decision trees that make up the resource manager; the fuzzy EA model; genetic algorithm based optimization; co-evolutionary data mining through gaming; and mathematical, computational and hardware based validation. Methods of automatically designing new multi-platform EA techniques are considered. The expert system runs on each defending platform rendering it an autonomous system requiring no human intervention. There is no commanding platform. Instead the platforms work cooperatively as a function of battlespace geometry; sensor data such as range, bearing, ID, uncertainty measures for sensor output; intelligence reports; etc. Computational experiments will show the defending networked platform's ability to self- organize. The platforms' ability to self-organize is illustrated through the output of the scenario generator, a software package that automates the underlying data mining problem and creates a computer movie of the platforms' interaction for evaluation.

Paper Details

Date Published: 6 August 2002
PDF: 12 pages
Proc. SPIE 4741, Battlespace Digitization and Network-Centric Warfare II, (6 August 2002); doi: 10.1117/12.478705
Show Author Affiliations
James F. Smith, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 4741:
Battlespace Digitization and Network-Centric Warfare II
Raja Suresh; William E. Roper; William E. Roper, Editor(s)

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