A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement

Self-adapting and self-organizing systems with local neighbor ship relations can face implicit mutual influences that may prevent an optimal behavior of the system. In this work, we present a novel algorithm that detects these influences in systems with local performance measures. We demonstrate the benefit of this algorithm by applying it to a smart camera network scenario, where neighbored cameras share parts of their fields of view. Furthermore, we discuss the gain of performance in learning camera control strategies.