ModellingEnhanced Imitation Learning of Model Predictive Control through Importance WeightingarXiv — Systems and Control (eess.SY) · 3dModellingLimited knowledge exchange across biological subfields in agent-based modellingarXiv — Physics and Society (physics.soc-ph) · 3dDigital twinReasoner-checked ontology crosswalks for a national digital twinarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinDigital twin speeds up reinforcement learning for lab robotsarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinDataset for deciding between evidence gathering and action in control-system incidentsarXiv — Computational Engineering, Finance, and Science (cs.CE) · 4dDigital twinSparse stochastic twins can outperform exact digital twinsarXiv — Computational Engineering, Finance, and Science (cs.CE) · 4dModellingPluralism of rival models in network models of sciencearXiv — Multiagent Systems (cs.MA) · 4dForecastingEstimation and MPC for balancing a wheel-legged robot under unknown disturbancesarXiv — Systems and Control (eess.SY) · 4dDigital twinConsolidating dispersed DSO data into a digital twin of the distribution gridarXiv API — полнотекстовый поиск "digital twin" · 5dDigital twinIntegrating ML and uncertainty quantification for real-time decisions in digital twinsarXiv API — полнотекстовый поиск "digital twin" · 5dDigital twinBiases in end-to-end digital twins built from chained modelsarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinDistributed Bandits for Freshness-Aware Data in MEC-Enabled Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 5d
Hybrid simulation of circular supply chains in healthcare
US & West ·
Researchers applied a hybrid discrete-event and agent-based simulation to analyze the transition to circular economy in healthcare supply chains. Using laparoscopic scissors as a case study, they assessed the impact of introducing reusable products on individual supply chain members and the entire system. The work accounts for uncertainties in flows and actor behavior, which was not done before.
Why it matters
Shows how simulation helps assess the consequences of business model changes in complex supply chains, relevant for resource management in large-scale systems.
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…
A bibliometric analysis of 22,936 agent-based modelling articles from Web of Science, classified by an LLM into biological subfields. Based on citations and author overlap, 83%, 81% and 69% of references in ecology, epidemiology and oncology stay within their own subfield.
The authors present TE-GvA, a counterfactual decision dataset for fault-driven incident response on the revised Tennessee Eastman process: 9,908 decision points from 1,990 simulated incidents, each with 4–35 candidate actions labelled via branched rollouts. With labels computed under the true hidden cause, gathering evidence is the best choice in only 1.1–1.3% of decisions.
