Results 151 to 160 of about 9,789 (258)

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

open access: yesRegulation &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

open access: yesRegulation &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   +2 more
wiley   +1 more source

Re‐Imagining Regulatory Governance

open access: yesRegulation &Governance, EarlyView.
ABSTRACT This paper invites the readers to rethink regulatory governance by examining how trust‐based and rule‐based governance interact. To do this, it uses analytical narratives of three fictional polities: “Trustland”, “Regland”, and “Concordia”. Each polity represents a stylized model of governance: Trustland is anchored in trust‐based governance ...
David Levi‐Faur
wiley   +1 more source

A Comprehensive Review of Metaheuristic Algorithms for Node Placement in UAV Communication Networks. [PDF]

open access: yesSensors (Basel)
Temesheva SA   +7 more
europepmc   +1 more source

Preference‐Based Representations for Collective Agency

open access: yesTopics in Cognitive Science, EarlyView.
Abstract Computational accounts of learning and decision‐making in cognitive systems, and models thereof, such as reinforcement learning, typically assume that the behavior of individual agents is determined by an externally designated reward signal such that the agent's goal is the maximization of its expected accumulated reward under the state ...
Nadav Amir   +2 more
wiley   +1 more source

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