Detection and classification of emergent behaviors using multi-agent simulation framework (WIP)

In recent years the concept of emergence has captured significant attention in the field of complex systems. However, the inability to predict and control emergent phenomena prevents us from exploring its full potential. The research effort in this paper focuses on exploring emergent behaviors by proposing a framework for analysis of systems that exhibit such behaviors. The framework provides a platform for simulating and analyzing behaviors in multi-agent system, including detection and classification of emergence into different types. In this paper, we follow the classification of emergent behaviors according to Fromm's taxonomy. In addition, the paper presents a scenario implementation using swarms of Unmanned Aerial Vehicles (UAVs) to demonstrate the applicability of the proposed approach. Since this is a part of on-going research, future direction is also discussed.