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Embedding Artificial Intelligence in Agent-Based Models (2015)
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Agent-Based Models (ABMs) have been increasingly used to study social phenomena, from the emergence of social norms to population dynamics or cultural transmission processes. Key to this method of computational simulation is the tension for explaining how macroscopic phenomena emerge from the interaction of agents behaving in a plausible manner. However, the behavior is too often encoded as a simple set of condition-action rules. We consider this kind of rule-based behaviour too simplistic,...