Limited knowledge exchange across biological subfields in agent-based modelling

Enhanced Imitation Learning of Model Predictive Control through Importance Weighting

arXiv:2611.06622v1 Announce Type: new Abstract: The approximation of model predictive control (MPC) algorithms with neural network models has received significant attention in the power electronics research community, as a valuable tool to enable the real-time implementation of computationally…

Pluralism of rival models in network models of science

The authors propose a theoretical and experimental model comparing communities of agents that hold rival theories side by side with communities that fold everything they hear into a single model. The work builds on Feyerabend's idea of theoretical pluralism, where coexistence of incompatible theories helps science work.

Consolidating dispersed DSO data into a digital twin of the distribution grid