Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley +1 more source
Assessing food procurement greenhouse gas emissions and food waste in UK fine dining.
Zick A, Schmidt R X, Reynolds C.
europepmc +1 more source
Derivation of tissue properties from basis-vector model weights for dual-energy CT-based Monte Carlo proton beam dose calculations. [PDF]
Medrano MJ +4 more
europepmc +1 more source
Acid-phase protection of carbon steel by lauramidopropyl amine oxide: evidenced by ICP-AES, electrochemical methods, severe-condition testing, and atomistic modeling. [PDF]
Modrek A +7 more
europepmc +1 more source
Synthesis and evaluating gamma shielding features of YBa<sub>2</sub>Cu<sub>3</sub>O<sub>7</sub>(Bi<sub>2</sub>O<sub>3</sub>) ceramic composite using Monte Carlo method via GEANT4 and MCNP codes. [PDF]
Soltani E, Saray AA.
europepmc +1 more source
Individualized Dose-volume Reconstruction Workflow for the Normal Tissues of Pediatric Patients Treated with Passive Scattering Proton Therapy. [PDF]
Griffin KT +15 more
europepmc +1 more source
Advancing iris melanoma brachytherapy: Eye plaque models for Monte Carlo simulations and 3D dosimetric datasets. [PDF]
Djedouani M +3 more
europepmc +1 more source
Electrochemical and quantum chemical exploration on L-ornithine L-aspartate as a sustainable corrosion inhibitor for AISI 1018 steel in acidic environment. [PDF]
Alshammari OAO +4 more
europepmc +1 more source
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Linear-Scaling Quantum Monte Carlo Calculations
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