Results 31 to 40 of about 6,700 (225)

Parameterizing developmental changes in epistemic trust [PDF]

Psychonomic Bulletin & Review, 2016
Children rely on others for much of what they learn, and therefore must track who to trust for information. Researchers have debated whether to interpret children's behavior as inferences about informants' knowledgeability only or as inferences about both knowledgeability and intent.
Baxter S, Eaves, Patrick, Shafto
openaire   +2 more sources

Agency Evidentialism: Trust and Doxastic Voluntarism

Rivista di Estetica, 2018
In debates about trust and testimony, epistemologists have traditionally been divided into two groups: those who hold that accepting the testimony of other people should be a kind of credulity without evidence (anti-reductivism) and those who assert that
Snježana Prijić-Samaržija
doaj   +1 more source

Les dommages épistémiques en recherche : rétablir la confiance des personnes trans envers les chercheur·euse·s en position de privilège en travail social à travers la pratique de la responsabilité épistémique

Éducation et Socialisation
This article focuses on the power dynamics between social work researchers in positions of privilege and marginalized groups. It suggests that epistemic injustices experienced by certain marginalized groups cause epistemic damage, including loss of trust
Marie-Claire Gauthier
doaj   +1 more source

Psychosocial Determinants of COVID-19 Vaccine Hesitancy and the Mediating Role of Various Attitudes towards Science

Vaccines, 2023
This study examined the way attitudes towards science in the U.S. mediate the relationship between COVID-19 vaccine hesitancy and psychosocial predictors, such as political ideology, religiosity, reactance proneness, dogmatism, perceived communal ...
Jonathan Morgan, Joseph A. Wagoner, Tom Pyszczynski   +2 more
doaj   +1 more source

The role of epistemic trust in the relationship between attachment and mentalization: a systematic review

Mediterranean Journal of Clinical Psychology
Epistemic trust can be defined as the ability to rely on social and cultural information from others. It allows to integrate the new knowledge in the vision of self and world, promoting the learning from experience. Recently, the issue of epistemic trust
Giovanna Esposito, Simona Totaro, Angela Di Maro, Raffaella Passeggia   +3 more
doaj   +1 more source

Trust in Scientists, Risk Perception, Conspiratorial Beliefs, and Unrealistic Optimism: A Network Approach to Investigating the Psychological Underpinnings of COVID-19 Vaccination Intentions

Social Psychological Bulletin, 2022
Using a network approach, we addressed in two studies interrelations among potential antecedents of vaccine intentions, related to both COVID-19 risk perception and epistemic beliefs (i.e., trust in scientists and conspiracy beliefs).
Bruno Gabriel Salvador Casara, Susana Martinez-Conde, Dariusz Dolinski, Caterina Suitner, Oliver Genschow, Pawel Muniak, Wojciech Kulesza   +6 more
doaj   +1 more source

Heuristically Adaptive Diffusion‐Model Evolutionary Strategy

Advanced Science, EarlyView.
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl, Yanbo Zhang, Hananel Hazan, Michael Levin   +3 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source