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1.
Behav Brain Sci ; 47: e169, 2024 Sep 23.
Article in English | MEDLINE | ID: mdl-39311504

ABSTRACT

This commentary examines the synergy between meta-learned models of cognition and integrative learning in enhancing animal and human learning outcomes. It highlights three integrative learning modes - holistic integration of parts, top-down reasoning, and generalization with in-depth analysis - and their alignment with meta-learned models of cognition. This convergence promises significant advances in educational practices, artificial intelligence, and cognitive neuroscience, offering a novel perspective on learning and cognition.


Subject(s)
Cognition , Learning , Humans , Animals , Cognition/physiology , Learning/physiology , Artificial Intelligence , Models, Psychological , Generalization, Psychological/physiology
2.
Acta Psychol (Amst) ; 241: 104082, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37951011

ABSTRACT

With declining fertility rates becoming a global trend, it is crucial to enhance the fertility intentions of mobile individuals of reproductive age. This study utilizes both questionnaire surveys and experimental methods to examine the influence of residential mobility on fertility intentions and the mediating role of well-being. The consistent findings from Study 1 and Study 2 (2a and 2b) indicate that residential mobility significantly negatively predicts individuals' fertility intentions, and well-being plays a significant mediating role between residential mobility and fertility intentions. This research, conducted from a psychological perspective, sheds light on the internal mechanisms linking residential mobility and fertility intentions, providing theoretical and empirical evidence to enhance fertility intentions among mobile populations in China.


Subject(s)
Fertility , Intention , Humans , Population Dynamics , Birth Rate , China
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