Causal entropic forces

AD Wissner-Gross, CE Freer - Physical review letters, 2013 - APS
Recent advances in fields ranging from cosmology to computer science have hinted at a
possible deep connection between intelligence and entropy maximization, but no formal …

Machine learning the thermodynamic arrow of time

A Seif, M Hafezi, C Jarzynski - Nature Physics, 2021 - nature.com
The asymmetry in the flow of events that is expressed by the phrase 'time's arrow'traces back
to the second law of thermodynamics. In the microscopic regime, fluctuations prevent us …

[HTML][HTML] Maximum entropy production as an inference algorithm that translates physical assumptions into macroscopic predictions: Don't shoot the messenger

RC Dewar - Entropy, 2009 - mdpi.com
Is Maximum Entropy Production (MEP) a physical principle? In this paper I tentatively
suggest it is not, on the basis that MEP is equivalent to Jaynes' Maximum Entropy (MaxEnt) …

[HTML][HTML] Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality

S Toyabe, T Sagawa, M Ueda, E Muneyuki, M Sano - Nature physics, 2010 - nature.com
Abstract In 1929, Leó Szilárd invented a feedback protocol in which a hypothetical
intelligence—dubbed Maxwell's demon—pumps heat from an isothermal environment and …

[HTML][HTML] The world as a neural network

V Vanchurin - Entropy, 2020 - mdpi.com
We discuss a possibility that the entire universe on its most fundamental level is a neural
network. We identify two different types of dynamical degrees of freedom:“trainable” …

Time–information uncertainty relations in thermodynamics

SB Nicholson, LP García-Pintos, A del Campo… - Nature Physics, 2020 - nature.com
Physical systems powering motion and creating structure in a fixed amount of time dissipate
energy and produce entropy. Whether living, synthetic or engineered, systems performing …

The thermodynamic meaning of negative entropy

L Rio, J Åberg, R Renner, O Dahlsten, V Vedral - Nature, 2011 - nature.com
The heat generated by computations is not only an obstacle to circuit miniaturization but also
a fundamental aspect of the relationship between information theory and thermodynamics …

Energy and entropy: Path from game theory to statistical mechanics

SG Babajanyan, AE Allahverdyan, KH Cheong - Physical Review Research, 2020 - APS
Statistical mechanics is based on the interplay between energy and entropy. Here we
formalize this interplay via axiomatic bargaining theory (a branch of cooperative game …

Semantic information, autonomous agency and non-equilibrium statistical physics

A Kolchinsky, DH Wolpert - Interface focus, 2018 - royalsocietypublishing.org
Shannon information theory provides various measures of so-called syntactic information,
which reflect the amount of statistical correlation between systems. By contrast, the concept …

[HTML][HTML] Entropy and the brain: An overview

S Keshmiri - Entropy, 2020 - mdpi.com
Entropy is a powerful tool for quantification of the brain function and its information
processing capacity. This is evident in its broad domain of applications that range from …