Results 111 to 120 of about 8,918 (283)
Modern perspectives in Proof Theory. [PDF]
Aguilera JP, Pakhomov F, Weiermann A.
europepmc +1 more source
Ricardo and the Utilitarians [PDF]
The paper discusses Ricardo's relationship to Mill and Bentham. It discusses first the origins of the myth of Ricardo's dependence from Bentham through Mill, and Halévy's contribution to the freezing of such a myth. The paper reconstructs what were their
Cremaschi, Sergio Volodia Marcello
core
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Controversial views and moral realism. [PDF]
Rydenfelt H.
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Risk, Technology, and Moral Emotions: Reply to Critics. [PDF]
Roeser S.
europepmc +1 more source
The Modal Components of Judgements in a Quantum Model of Psychoanalytic Theory. [PDF]
Battilotti G, Borozan M, Lauro Grotto R.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
All the mathematics in the world: logical validity and classical set theory
A recognizable topological model construction shows that any consistent principles of classical set theory, including the validity of the law of the excluded third, together with a standard class theory, do not suffice to demonstrate the general validity
David Charles McCarty
doaj

