Machine Learning Meets Agent-based Modeling : When Not To

@inproceedings{RandMachineLM,
  title={Machine Learning Meets Agent-based Modeling : When Not To},
  author={William Rand}
}
One of the promises of ABM is the ability to have adaptive agents make decisions in changing environments. Though great work has been done using adaptive agents in ABM, more research into the theoretical understanding of these systems would be useful. Adaptive agents have already been studied within machine learning (ML)—an area of artificial intelligence specifically concerned with adaptation and building internal models. The first part of this paper presents a framework for understanding ML… CONTINUE READING