Modelling Environmental Factors and Effects in Virtual Warfare Simulators Using a Multi Agent Paradigm

Abstract

Environmental effects of military training, live exercises and missile tests pose a major threat to the ecosystem and have a long term impact on bio-diversity. Military simulators and Virtual Warfare Analyses constitute an important and inexpensive tool that is really important for military analysts, safe alternate to live training exercises. A major impediment encountered is to replicate real-world scenarios considering effects of Weather and Terrain on military operations and assessing the damage caused due to the weapons employed for achieving a military objective in training. We propose a multi-agent based approach for the design of simulators where a neuro-fuzzy hybridization technique is applied to model the terrain and weather operations and predict its impact on the effectiveness of air tasking operations and missions. Spatial Terrain and Spatio-temporal weather data from meteorological sources were used as input to a neural network and the predicted weather conditions at a given place were classified with fuzzy logic.