Computational Red Teaming for Trusted Autonomous Systems

Abstract

This chapter presents a model for influencing and shaping that employs computational red teaming. The model is demonstrated and validated computationally using a simulation environment where social influencing and shaping are applied to an artificial society. Network topology for situation awareness and a trust factor on perceived information were added to the classic Boids model to enable the investigation of influence and shaping. The chapter builds on the difference between influence and shaping. First, this distinction is important because it implies that influencing is a sufficient condition for shaping. Second, it is important in computational social sciences to facilitate the creation of models that are not ambiguous about the socio‐psychological phenomena under investigation. Third, the distinction is important because it clarifies that influencing and shaping work on different time scales – influencing is effective in the short term, whereas shaping is more effective in the long term.