# A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation

@article{Wang2019ACG, title={A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation}, author={Kun Wang and WaiChing Sun and Qiang Du}, journal={Computational Mechanics}, year={2019}, pages={1-33} }

We introduce a multi-agent meta-modeling game to generate data, knowledge, and models that make predictions on constitutive responses of elasto-plastic materials. We introduce a new concept from graph theory where a modeler agent is tasked with evaluating all the modeling options recast as a directed multigraph and find the optimal path that links the source of the directed graph (e.g. strain history) to the target (e.g. stress) measured by an objective function. Meanwhile, the data agent…

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