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SNOMAN's interface displays missile and radar information to track threats. In 2008, SNOMAN was featured as a success story in MDA's TechUpdate, a quarterly update for MDA Technology Transfer.

Missile Defense Agency Features Charles River’s Network Sensor Optimization Tool in its Technology Applications Report

SNOMAN optimizes missile defense systems using virtual market ideas and game theory

A network sensor optimization tool from Charles River Analytics Inc, a developer of cutting-edge technologies for intelligent systems, was featured by the Missile Defense Agency (MDA) in its Technology Applications Report, Building on Our Strengths. Sensor Network Optimization using Multi-Agent Negotiation (SNOMAN) improves sensor performance for missile defense by treating command and control systems and sensors as buyers and sellers in a virtual market.

SNOMAN addresses the need for an adaptive approach to sensor management in the defense domain. In time-constrained, unpredictable environments resources must be allocated according to changing factors. SNOMAN’s solution incorporates multi-agent negotiation to address the real-time resource allocation problem and game theory to gauge how agents interact and determine their bidding strategy.

Christopher Farnham, Senior Software Engineer at Charles River Analytics, said, “We are pleased that the MDA invested in SNOMAN as a key technology for sensor and resource management. We look forward to continuing our relationship with the MDA and are currently expanding on ideas we developed in SNOMAN into other projects, such as ALAMO.” In ALAMO (Arbitrage Look-ahead Agents for Market-based Optimization), Charles River is seeking alternative methods for sensor optimization by examining strategies used in futures
markets.

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