Social Layers and Population Models Directed by Intelligent Agents for Estimating the Impact of Operations and Investments

This research aims to support operations planning and management in complex scenarios where population and interest groups are critical elements; in particular the paper propose experimental analysis carried out on a complex South Asia scenario by running an HLA Federation driven by Intelligent Agents; the context is allows to simulate investments and operations over a an asymmetric mission environment with insurgents, terrorists, different parties and articulated social frameworks. The proposed scenario is characterized by various degrees of freedom and it needs to be modelled and simulated in order to evaluate the evolution of human behaviour and socio-psychological aspects. The authors have developed special models in which Computer Generated Forces (CGF) are driven by Intelligent Agents (IAs) that represents not only units on the battlefield, but also people and interest groups (i.e. Middle Class, Nomads, Clans); the study is focused on Civil Military Co-operations (CIMIC) and Psychological Operations (PSYOPs); while the simulation has been developed using an architecture that involves various federates in different roles. Along the entire life cycle of the research processes of Verification, Validation and Accreditation have been applied in order to determine the correctness and effectiveness of the results and the paper proposes experimental results obtained during the dynamic test of the federations.