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Causal learning has traditionally been regarded as a process of forming epistemically accurate causal beliefs that represent the world. Yet, considering that a primary function of causal learning is to further people’s practical goals by increasing their
Teo Wen Hao Dennis, Desmond C. Ong
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Causal Markov, Robustness and the Quantum Correlations [PDF]
It is still a matter of controversy whether the Principle of the Common Cause (PCC) can be used as a basis for sound causal inference. It is thus to be expected that its application to quantum mechanics should be a correspondingly controversial issue ...
San Pedro, Iñaki +3 more
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Estilo atribucional frente a la interacción social de niños en el aula
Estilo atribucional frente a la interacción social de niños en el ...
Claudia Patricia Navarro Roldan
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Burnout en la enseñanza: Aspectos atribucionales
La teoría de la atribución establece que las dimensiones atributivas de las causas percibidas de un hecho determinan el tipo de conducta de las personas sobre el mismo.
M.ª ANTONIA MANASSERO +5 more
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Natural Selection and Causal Productivity [PDF]
In the recent philosophical literature, two questions have arisen concerning the status of natural selection: 1) Is it a population-level phenomenon, or is it an organism-level phenomenon?
Millstein, Roberta L. +1 more
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La construcción social del género desde la perspectiva de la Teoría de la Identidad Social
El objetivo principal de este trabajo fue analizar los diferentes procesos psicológicos involucrados en la construcción de género a partir de la Teoría de la Identidad Social.
Edgardo Etchezahar
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Con el objetivo de comparar las creencias sobre los trastornos mentales en población general y en profesionales de la Psicología y analizar las diferencias entre aquellos que presentan una atribución causal biomédica vs. psicosocial sobre estas creencias,
Soraya E. Castro-de Diego +1 more
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Beyond Covariation: Cues to Causal Structure [PDF]
Causal induction has two components: learning about the structure of causal models and learning about causal strength and other quantitative parameters. This chapter argues for several interconnected theses.
Hagmaye, Y +3 more
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A variety of questions in causal inference can be represented as probability distributions over hypothetical worlds where idealized randomized experiments known as interventions have taken place.
Tian, Jin, Shpitser, Ilya
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Inferring Causal Complexity [PDF]
In "The Comparative Method" Ragin (1987) has outlined a procedure of Boolean causal reasoning operating on pure coincidence data that has meanwhile become widely known as QCA (Qualitative Comparative Analysis) among social scientists.
Baumgartner, Michael
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