Agent-Based Modeling Helps in Studying Emergent Phenomena
An Agent-Based Model (ABM) is a category of a computational model for investigating actions and interactions of autonomous agents. The concept behind an ABM is the observation of simultaneous and multiple interactions of agents or programmed instructed entities through simulated environments. In developing these simulated environments, predictions of emergent phenomena can be evaluated. With an ABM, macro or high-level system properties can emerge from lower-level system interactions. Moreover, large scale state changes will emerge from micro-scale agent behaviors generated from system-level ...