Why do some explanations strike people as highly satisfying while others, seemingly equally accurate, satisfy them less? We asked laypeople to generate and rate thousands of open-ended explanations in response to 'Why?' questions spanning multiple domains, and analyzed the properties of these explanations to discover (1) what kinds of features are associated with greater explanation quality; (2) whether people can tell how good their explanations are; and (3) which cognitive traits predict the ability to generate good explanations. Our results support a pluralistic view of explanation, where satisfaction is best predicted by either functional or mechanistic content. Respondents were better able to judge how accurate their explanations were than how satisfying they were to others. Insight problem solving ability was the cognitive ability most strongly associated with the generation of satisfying explanations.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.cognition.2023.105464 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Maternal Cannabis Use During Pregnancy and Neuropsychiatric Adverse Outcomes During Childhood and Early Adult Life.
J Clin Psychiatry
January 2025
Department of Psychiatry, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India, Department of Clinical Psychopharmacology and Neurotoxicology, National Institute of Mental Health and Neurosciences, Bangalore, India
Cannabis use during pregnancy is increasing; the study of adverse outcomes in cannabis-exposed pregnancies is therefore important. Previous articles in this series described increased risks of maternal adverse outcomes, fetal adverse outcomes, birth defects in newborns, and autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) in childhood. This article examines neuropsychiatric adverse outcomes in offspring gestationally exposed to cannabis.
View Article and Find Full Text PDFA deep learning tissue classifier based on differential Co-expression genes predicts the pregnancy outcomes of cattle.
Biol Reprod
January 2025
Inner Mongolia SK·Xing Animal Breeding and Breeding Biotechnology Research Institute Co., Ltd, Hohhot 011517, China.
Economic losses in cattle farms are frequently associated with failed pregnancies. Some studies found that the transcriptomic profiles of blood and endometrial tissues in cattle with varying pregnancy outcomes display discrepancies even before artificial insemination (AI) or embryo transfer (ET). In the study, 330 samples from seven distinct sources and two tissue types were integrated and divided into two groups based on the ability to establish and maintain pregnancy after AI or ET: P (pregnant) and NP (nonpregnant).
View Article and Find Full Text PDFCircular RNA ATP9A Stimulates Non-small Cell Lung Cancer Progression via MicroRNA-582-3p/Ribosomal Protein Large P0 Axis and Activating Phosphatidylinositol 3-Kinase/Protein Kinase B Signaling Pathway.
Appl Biochem Biotechnol
January 2025
Department of Oncology, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, No.71 Baoshan North Road, Yunyan District, Guiyang City, 550001, Guizhou Province, China.
Circular RNAs (circRNAs), along with their pathogenic property in non-small cell lung cancer (NSCLC), require comprehensive analyses and explanations. The study is established with the purpose to elucidate the potential molecular mechanism of circATP9A in NSCLC. CircATP9A and microRNA (miR)-582-3p were evaluated by real-time quantitative polymerase chain reaction, and ribosomal protein large P0 (RPLP0), cleaved caspase-3, cleaved Ki-67, epithelial-to-mesenchymal transition (EMT)-associated proteins (N-cadherin and E-cadherin), and core proteins of the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) pathway were by Western blot.
View Article and Find Full Text PDFscHiClassifier: a deep learning framework for cell type prediction by fusing multiple feature sets from single-cell Hi-C data.
Brief Bioinform
November 2024
School of Software, Shandong University, No. 1500, Shunhua Road, Hi-Tech Industrial Development Zone, Jinan 250100, Shandong, China.
Single-cell high-throughput chromosome conformation capture (Hi-C) technology enables capturing chromosomal spatial structure information at the cellular level. However, to effectively investigate changes in chromosomal structure across different cell types, there is a requisite for methods that can identify cell types utilizing single-cell Hi-C data. Current frameworks for cell type prediction based on single-cell Hi-C data are limited, often struggling with features interpretability and biological significance, and lacking convincing and robust classification performance validation.
View Article and Find Full Text PDFA rationale for the poor response to alectinib in a patient with adenocarcinoma of the lung harbouring a fusion by artificial intelligence and molecular modelling: a case report.
Transl Lung Cancer Res
December 2024
Department of Physics and Center for Complexity and Biosystems, Università degli Studi di Milano and INFN, Milano, Italy.
Background: Non-small cell lung cancers (NSCLCs) with fusions are effectively treated with tyrosine kinase inhibitors (TKIs). The widespread use of next-generation sequencing (NGS) assays to study the molecular profile of NSCLCs, can identify rare fusion partners of . Therapy decisions are made without considering which fusion partner is present and its potential oncogenic properties.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!