Digital twinSchneider Electric and partners test AI factory digital twin in SinesData Centre Solutions · 17hModellingОт языка к действию: как устроены агентные ИИ‑системыХабр · 14hForecastingPhase-Coordinated Model Predictive Control for AI Training Power SmoothingarXiv — Systems and Control (eess.SY) · yesterdayForecastingA model predictive control framework with robust stability guarantees under unbounded disturbancesarXiv — Systems and Control (eess.SY) · yesterdayDigital twinSchneider Electric pilots an AI data center digital twin in PortugalInvesting.com · yesterdayModellingLLM-Augmented Agent-Based Simulation of Cyber Social AgentsarXiv — Multiagent Systems (cs.MA) · 2dModellingBayesian inference for agent-based models with 90% fewer simulationsarXiv — Multiagent Systems (cs.MA) · 2dModellingAdapting neural posterior estimators for agent-based model inferencearXiv — Multiagent Systems (cs.MA) · 2dDigital twinModel-Free Generative Stealthy Attacks on Safety-Critical Vehicle Cyber-Physical SystemsarXiv — Systems and Control (eess.SY) · 3dDigital twinSchneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twinEngineering.com · 6dDigital twinLarge Language Models Meet Bayesian Optimization: Towards Self-evolving Wireless Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 6dModellingJaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in SecondsarXiv — General Economics (econ.GN) · 22 Oct

Strategic Evaluation of Planning Strategies for LLM Agents in Cyber-Physical Systems

US & West · 7 Oct

arXiv:2608.04265v2 Announce Type: replace Abstract: LLM-agent evaluations commonly measure task success or agreement with a declared plan. In strategic cyber-physical systems, an architecture must also remain appropriate after autonomous participants respond and physics constrains outcomes.

Original headline: Strategic Evaluation of Planning Strategies for LLM Agents in Cyber-Physical Systems

Read the original: arXiv — Multiagent Systems (cs.MA)

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.