Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Andrea Auconi"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The share of social media attention to political candidates was shown to be a good predictor of election outcomes in several studies. This attention to individual candidates fluctuates due to incoming daily news and sometimes reflects long-t
Externí odkaz:
https://doaj.org/article/c11c4d9eec3d402089a71e15abe83a62
Publikováno v:
Entropy, Vol 21, Iss 2, p 177 (2019)
The entropy production in stochastic dynamical systems is linked to the structure of their causal representation in terms of Bayesian networks. Such a connection was formalized for bipartite (or multipartite) systems with an integral fluctuation theo
Externí odkaz:
https://doaj.org/article/656193f0a1764d94a46a3454ccb9a508
Publikováno v:
ChemNanoMat. 7:1057-1062
We theoretically address minimal search strategies of active, self-propelled particles towards hidden targets in three-dimensional space. The particles can sense if a target is close, e.g., by detecting signaling molecules released by a target, but t
We quantify the performance of approximations to stochastic filtering by the Kullback-Leibler divergence to the optimal Bayesian filter. Using a two-state Markov process that drives a Brownian measurement process as prototypical test case, we compare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42de9b801043e344deac40bd61ed22d4
http://arxiv.org/abs/2206.13018
http://arxiv.org/abs/2206.13018
Publikováno v:
Europhysics Letters. 138:12001
Bayesian chemotaxis is an information-based target search problem inspired by biological chemotaxis. It is defined by a decision strategy coupled to the dynamic estimation of target position from detections of signaling molecules. We extend the case
Publikováno v:
Physical Review E. 95
The intuition of causation is so fundamental that almost every research study in life sciences refers to this concept. However, a widely accepted formal definition of causal influence between observables is still missing. In the framework of linear L