Results 291 to 300 of about 1,114,269 (358)

Causality, determinism, and physics

American Journal of Physics, 2022
Although physical laws or theories are often invoked in debates over “causality” and “determinism,” our best current understanding of physics assigns only a limited (though still very broad) validity to these concepts. It may be, thus, helpful (particularly when having to deal with the challenges posed by quantum mechanics) to think of them as ...
J. Gea-Banacloche
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How Fundamental Physics Represents Causality

New Directions in the Philosophy of Science, 2014
Russell’s dictum that there is no place for causality in fundamental physics (Russell B, On the notion of cause. Proc Aristotelian Soc 13:1–26, 1912/1913) has been revitalized in a recent debate (e.g. Price H, Corry R (eds) Causality, physics, and the constitution of reality: Russell’s republic revisited. Oxford University Press, Oxford, 2007).
Andreas Bartels, Daniel Wohlfarth
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Indeterminism, Causality and Information: Has Physics Ever Been Deterministic?

Undecidability, Uncomputability, and Unpredictability, 2020
A tradition handed down among physicists maintains that classical physics is a perfectly deterministic theory capable of predicting the future with absolute certainty, independently of any interpretations. It also tells that it was quantum mechanics that
Flavio Del Santo
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How quantum physics is challenging causality

Physics world
In the fourth of our series of truly weird quantum effects, Hamish Johnston becomes a casual observer of the bizarre situation in which the causal order of events are in a quantum superposition.
H. Johnston
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PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation

arXiv.org
The finite-difference time-domain (FDTD) method, which is important in photonic hardware design flow, is widely adopted to solve time-domain Maxwell equations. However, FDTD is known for its prohibitive runtime cost, taking minutes to hours to simulate a
Pingchuan Ma, Haoyu Yang, Zhengqi Gao, Duane S. Boning, Jiaqi Gu   +4 more
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Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations

International Joint Conference on Artificial Intelligence
Physics-informed neural networks (PINNs) have shown promising potential for solving partial differential equations (PDEs) using deep learning. However, PINNs face training difficulties for evolutionary PDEs, particularly for dynamical systems whose ...
Ye Li, Siqi Chen, Bin Shan, Sheng-Jun Huang   +3 more
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Causality-guided adaptive sampling method for physics-informed neural networks

arXiv.org
Compared to purely data-driven methods, a key feature of physics-informed neural networks (PINNs) - a proven powerful tool for solving partial differential equations (PDEs) - is the embedding of PDE constraints into the loss function.
Shuning Lin, Yong Chen
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Physical causality and brain theories

American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 1980
The history of deterministic theories in physics is reviewed, and four levels of determinism are found: 1) absolute, 2) asymptotic, 3) probabilistic, and 4) absolute indeterminism. Nagel's view that all causal laws are deterministic in the frame of the state descriptions to which they refer is acknowledged, but the inevitability of macroscopic ...
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Causal Closure, Causal Exclusion, and Supervenience Physicalism

Pacific Philosophical Quarterly, 2014
AbstractThis article considers the recent defense of the supervenience approach to physicalism due to Jaegwon Kim. Kim argues that supervenience supports physical causal closure, and that causal closure supports physicalism – indeed, a kind of reductive physicalism – and thus that supervenience suffices for physicalism. After laying out Kim's argument,
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The cradle of causal reasoning: newborns’ preference for physical causality

Developmental Science, 2013
AbstractPerception of mechanical (i.e. physical) causality, in terms of a cause–effect relationship between two motion events, appears to be a powerful mechanism in our daily experience. In spite of a growing interest in the earliest causal representations, the role of experience in the origin of this sensitivity is still a matter of dispute.
MASCALZONI E, REGOLIN, LUCIA, VALLORTIGARA G., SIMION, FRANCESCA   +3 more
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