Agent Based Modeling, Statistics of

摘要: Agent-based models (ABMs) have become an important simulation tool for understanding certain categories of complex phenomena. They are widely used in epidemiology, ecology, transportation research, social networks, and other applications which the global behavior is determined by local (which usually quite simple, can be represented through a concise set rules). However, unlike many models, such as linear regression, statistical issues associated with ABMs largely undeveloped.