Results 21 to 30 of about 385,289 (314)
Causality and micro-causality in curved spacetime [PDF]
Physics Letters B, 2007 We consider how causality and micro-causality are realised in QED in curved spacetime. The photon propagator is found to exhibit novel non-analytic behaviour due to vacuum polarization, which invalidates the Kramers-Kronig dispersion relation and calls into question the validity of micro-causality in curved spacetime. This non-analyticity is ultimately
Timothy Hollowood, Graham Shore
openaire +4 more sources
Causal imprinting in causal structure learning [PDF]
Cognitive Psychology, 2012 Suppose one observes a correlation between two events, B and C, and infers that B causes C. Later one discovers that event A explains away the correlation between B and C. Normatively, one should now dismiss or weaken the belief that B causes C. Nonetheless, participants in the current study who observed a positive contingency between B and C followed ...
Eric G, Taylor, Woo-Kyoung, Ahn
openaire +2 more sources
Causal-learn: Causal Discovery in Python
J. Mach. Learn. Res., 2023 Causal discovery aims at revealing causal relations from observational data, which is a fundamental task in science and engineering. We describe $\textit{causal-learn}$, an open-source Python library for causal discovery. This library focuses on bringing a comprehensive collection of causal discovery methods to both practitioners and researchers.
Yujia Zheng 0001 +8 more
openaire +3 more sources
Gender roles and implicit causality [PDF]
, 2008 Numerous studies investigated the phenomenon of implicit verb causality (cf. Rudolph & Försterling, 1997). This research revealed the robust finding that different types of interpersonal verbs lead to systematic causal attributions to one of the ...
Tumasjan, Andranik +3 more
core +1 more source
From Causal Pairs to Causal Graphs
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022 Causal structure learning from observational data remains a non-trivial task due to various factors such as finite sampling, unobserved confounding factors, and measurement errors. Constraint-based and score-based methods tend to suffer from high computational complexity due to the combinatorial nature of estimating the directed acyclic graph (DAG ...
Rezaur Rashid +2 more
openaire +2 more sources
Connectivity Analysis for Multivariate Time Series: Correlation vs. Causality
Entropy, 2021 The study of the interdependence relationships of the variables of an examined system is of great importance and remains a challenging task. There are two distinct cases of interdependence.
Angeliki Papana
doaj +1 more source
The Eternal Relations of Origin, Causality, and Implications for Models of God
Religions, 2023 The classical doctrine of the eternal relations or origin (ERO) claims that these relations are (1) atemporal and (2) causal. In this paper, I investigate the casual nature of the ERO, highlighting that the patristic and medieval Christian thinkers who ...
Andrew Hollingsworth
doaj +1 more source
Causal Games and Causal Nash Equilibrium
CoRR, 2019 Classical results of Decision Theory, and its extension to a multi-agent setting: Game Theory, operate only at the associative level of information; this is, classical decision makers only take into account probabilities of events; we go one step further and consider causal information: in this work, we define Causal Decision Problems and extend them ...
Mauricio Gonzalez-Soto +2 more
openaire +2 more sources
Agentic Recommender System Konzept für nachhaltiges Wissensmanagement
TH Wildau Engineering and Natural Sciences ProceedingsUnternehmen stehen vor erheblichen Herausforderungen beim Erhalt, bei der Nutzung und Weitergabe zentralen Wissens. Demografischer Wandel, zunehmender Mitarbeiterfluktuation und steigende organisatorische Komplexit ¨at erschweren klassische ...
Simon Wilbers +3 more
doaj +1 more source
The COVID-19 Vaccine Safety Research Center: a cornerstone for strengthening safety evidence for COVID-19 vaccination in the Republic of Korea [PDF]
Osong Public Health and Research PerspectivesThe COVID-19 Vaccine Safety Research Committee (CoVaSC) was established in November 2021 to address the growing need for independent, in-depth scientific evidence on adverse events (AEs) following coronavirus disease 2019 (COVID-19) vaccination.
Na-Young Jeong +14 more
doaj +1 more source