Emergent Properties in Multi-Agent Systems: A Simulation Study

Abstract

This paper delves into the emergent properties observed in multi-agent systems through simulation studies. We analyze how simple rules can lead to complex behaviors, drawing parallels to natural phenomena like flocking and herding. Our study provides insights into the design of decentralized systems that can autonomously adapt to changing environments. We highlight the potential applications of these findings in fields such as robotics, traffic management, and organizational coordination.