Charles River Analytics received follow-on funding to develop a sensor network optimization tool for the Missile Defense Agency, in conjunction with the Naval Surface Warfare Center. Sensor Network Optimization using Multi-Agent Negotiation (SNOMAN) for Missile Defense is an adaptive system designed for the unpredictable environment in which missile defense takes place.
While traditional sensor management is formulated according to a predefined set of goals and restraints, missile defense requires new solutions as it takes place in unpredictable, real-time environments. Missile defense needs an adaptive approach to optimization that allocates sensors and resources according to changing goals and constraints. Charles River Analytics has found a solution to the challenges posed by missile defense by using multi-agent negotiation to address the real-time resource allocation problem.
SNOMAN employs technology based on economic theory to meet the challenges posed by real-time resource allocations. It also uses game theory to determine how agents interact based on a negotiation mechanism that determines their bidding strategy. In the artificial economic market created with SNOMAN, intelligent agents act as buyers and sellers of information. These agents represent the elements of the sensor network, including sensors, sensor platforms, and computational resources.
Charles River Analytics is distinctly qualified to develop SNOMAN with its extensive experience in C4ISR, intelligence, sensor management, military information processing systems, R&D projects for the DoD, and hybrid artificial intelligence systems.