Results 131 to 140 of about 156,806 (296)

Error detection is not necessary for representation

Mind &Language, EarlyView.
Some philosophers have recently proposed an error detection condition (EDC) for representation, such that for R$$ R $$ to be a representation for system S$$ S $$, S$$ S $$ must be capable of detecting errors in tokenings of R$$ R $$. We argue that this condition is unmotivated, and that it is too strong. We show that theories of representation that are
Ori Hacohen, Kenneth Aizawa
wiley   +1 more source

Does Institutional Transparency Affect Citizen Trust in Predictive Policing? Evidence From a Survey‐Experiment in The Netherlands

Public Administration, EarlyView.
ABSTRACT Police organizations increasingly use predictive algorithms for surveillance, raising privacy concerns and potentially decreasing citizen trust in these prominent policing tools. This paper investigates whether two dimensions of institutional transparency, transparency about legislation and external monitoring, can influence trust in ...
E. N. Nieuwenhuizen, V. Trehan, G. Porumbescu   +2 more
wiley   +1 more source

The Drivers of Science Referenced in US EPA Regulatory Impact Analyses: Open Access, Professional Popularity, and Agency Involvement

Regulation &Governance, EarlyView.
ABSTRACT We perform bibliometric analysis on documents for 255 Regulatory Impact Analyzes (RIAs) prepared by the US Environmental Protection Agency (EPA) from 1980 through 2024. Using a series of automated information extraction methods, we extract references from these documents and match them to bibliographic records.
Tyler A. Scott, Sojeong Kim, Liza Wood
wiley   +1 more source

Regulating Uncertainty: The Importance of Trust and Affect in the Regulation of AI in The Netherlands

Regulation &Governance, EarlyView.
ABSTRACT The rapid adoption of artificial intelligence (AI) introduces significant uncertainty regarding its future applications and potential risks. What is the preferred regulatory approach when confronted with such uncertainty? To cope with uncertainty, people often screen information in a biased way, consistent with their own prior beliefs and ...
Esther Versluis, Aneta Spendzharova, Odile Feltkamp   +2 more
wiley   +1 more source

Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland. [PDF]

Sci Rep
Fu T, Wang D, Jin J.
europepmc   +1 more source

A Novel Hybrid Machine Learning-Based System Using Deep Learning Techniques and Meta-Heuristic Algorithms for Various Medical Datatypes Classification. [PDF]

Diagnostics (Basel)
Kadhim YA, Guzel MS, Mishra A.
europepmc   +1 more source

Training robots with natural and lightweight human feedback

AI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract Generalist robot models promise broad applicability across domains but currently require extensive expert demonstrations for task specialization, which is a costly and impractical barrier for real‐world deployment. In this article, which summarizes the author's presentation in the New Faculty Highlights Track of the 39th annual AAAI Conference
Erdem Bıyık
wiley   +1 more source

Neuro-computing solution for Lorenz differential equations through artificial neural networks integrated with PSO-NNA hybrid meta-heuristic algorithms: a comparative study. [PDF]

Sci Rep
Aslam MN, Aslam MW, Arshad MS, Afzal Z, Hassani MK, Zidan AM, Akgül A.   +6 more
europepmc   +1 more source

AI‐driven perception management and political soft power: Insights from expert interviews

AI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract This study explores the role of artificial intelligence (AI) in perception management as an emerging tool of political soft power. Drawing on the theoretical frameworks of social psychology, strategic communication, and political communication, the research investigates how AI‐assisted strategies influence public perception, image, and trust ...
Özkul Haraç, Ayhan Dolunay
wiley   +1 more source

Dynamic Pricing With Demand Carry‐Over: Managerial Practice Versus Theory Prediction

Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, Volume 43, Issue 1, March 2026.
ABSTRACT This paper examines how competing firms set prices over multiple periods when current‐period demand partially carries over to future periods. We first present results from a pricing experiment conducted with experienced fast‐food managers.
Yuanfang Lin, Amit Pazgal, Li Yang
wiley   +1 more source