A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
This may well be the answer to AI slop, but it could also be way out of all that tiresome, chronically inefficient language.
Abstract: As the updating frequency decreases, the stagnation effect poses a challenge to the accuracy of model-free predictive control (MFPC) based on signal gradients. To mitigate this issue from ...
PsyPost on MSN
How a new forecasting model accurately predicted the outcome of the 2024 presidential election
A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...
Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results