Software Optimizes Missile Defense Systems using Virtual Market Ideas and Game Theory
The Missile Defense Agency (MDA) featured Charles River Analytics’ network sensor optimization tool in their quarterly newsletter, TechUpdate. The software, Sensor Network Optimization using Multi-Agent Negotiation (SNOMAN), improves sensor performance for missile defense by treating sensors like buyers and sellers in a virtual market.
SNOMAN addresses the need for an adaptive approach to sensor management in unpredictable environments where sensors and resources need to 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.
SNOMAN was funded by MDA with an initial contract in 2004 and a follow-on contract in 2005. Charles River is currently expanding on ideas employed in SNOMAN into other projects, such as ALAMO. In Arbitrage Look-ahead Agents for Market-based Optimization (ALAMO), Charles River is seeking alternative methods for sensor optimization by examining strategies used in futures markets.