Cargando…
The Paradox of Time in Dynamic Causal Systems
Recent work has shown that people use temporal information including order, delay, and variability to infer causality between events. In this study, we build on this work by investigating the role of time in dynamic systems, where causes take continuous values and also continually influence their ef...
Autores principales: | Rehder, Bob, Davis, Zachary J., Bramley, Neil |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322147/ https://www.ncbi.nlm.nih.gov/pubmed/35885086 http://dx.doi.org/10.3390/e24070863 |
Ejemplares similares
-
Causal Structure Learning in Continuous Systems
por: Davis, Zachary J., et al.
Publicado: (2020) -
Causal Confirmation Measures: From Simpson’s Paradox to COVID-19
por: Lu, Chenguang
Publicado: (2023) -
How Do People Generalize Causal Relations over Objects? A Non-parametric Bayesian Account
por: Zhao, Bonan, et al.
Publicado: (2021) -
Causal mechanisms proposed for the alcohol harm paradox—a systematic review
por: Boyd, Jennifer, et al.
Publicado: (2021) -
Causality, mediation and time: a dynamic viewpoint
por: Aalen, Odd O, et al.
Publicado: (2012)