Results 61 to 70 of about 110,176 (293)

Stereotypes, Epistemic Dilemmas, and Epistemic Dispositions [PDF]

open access: yes, 2021
People sometimes face an epistemic dilemma with regards to stereotyping. We harbor a stereotype that reflects something of social reality, e.g., high rates of criminal involvement among members of a certain social group. But if we apply the stereotype when making judgments about individuals, we make certain mistakes, e.g., failing to notice positive ...
openaire   +2 more sources

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

open access: yesAdvanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang   +6 more
wiley   +1 more source

Economic Harmony: An Epistemic Theory of Economic Interactions

open access: yesGames, 2017
We propose an epistemic theory of micro-economic interactions, termed Economic Harmony. In the theory, we modify the standard utility, by changing its argument from the player’s actual payoff, to the ratio between the player’s actual payoff and his or ...
Ramzi Suleiman
doaj   +1 more source

THE DYNAMICS OF EPISTEMOLOGICAL DECOLONISATION IN THE 21ST CENTURY: TOWARDS EPISTEMIC FREEDOM

open access: yesThe Strategic Review for Southern Africa, 2020
The problem of the 21st century in the knowledge domain is best rendered as the ‘epistemic line’. It cascades directly from William E B Dubois’s ‘colour line’ which haunted the 20th century and provoked epic struggles for political decolonisation.
S. Ndlovu-Gatsheni
semanticscholar   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE 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   +4 more
wiley   +1 more source

Investigating the Semantic Development of Modal Markers: The Role of Context

open access: yesClotho, 2019
The article tackles the problem of studying diachronic semantic changes of modal markers in Latin. It proposes to do so by using context as a proxy for tracing the development of otherwise unchanging forms.
Tomaž Potočnik, Matej Hriberšek
doaj   +1 more source

A Tutorial on Epistemic Network Analysis: Analyzing the Structure of Connections in Cognitive, Social, and Interaction Data

open access: yesJournal of Learning Analytics, 2016
This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models.
D. Shaffer, W. Collier, A. Ruis
semanticscholar   +1 more source

EPISTEMIC MULTILATERAL LOGIC

open access: yesThe Review of Symbolic Logic, 2020
AbstractWe presentepistemic multilateral logic, a general logical framework for reasoning involving epistemic modality. Standard bilateral systems use propositional formulae marked with signs for assertion and rejection. Epistemic multilateral logic extends standard bilateral systems with a sign for the speech act of weak assertion (Incurvati & ...
Incurvati, L., Schlöder, J.J.
openaire   +2 more sources

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

open access: yesAdvanced 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

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