Imagine that a company would like to implement a new idea. This idea is unique and you have no clue whether it will work or not. Or imagine a government that would like to change the rules and is concerned whether such change will not destroy the economy of the country. Such scenarios are very difficult to predict due to the lack of historical records with given settings and possible emergent phenomena. In this this talk we’ll introduce Agent-based Modeling (ABM): a methodology that allows us to make such predictions. Using real examples we’ll explore successful applications of ABM, describe its building blocks and pay attention to the potential risks.
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