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
Optimizing the Classic and the Energy-Efficient Permutation Flowshop Scheduling Problem with a Hybrid Tyrannosaurus Rex Optimization Algorithm. [PDF]
Tsiftsoglou M, Marinakis Y, Marinaki M.
europepmc +1 more source
Re‐Imagining Regulatory Governance
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 memorized multi-objective Sinh-Cosh optimizer for solving multi-objective engineering design problems. [PDF]
El-Nagar D, Zeidan I, Issa M.
europepmc +1 more source
Non-uniform cosine modulated filter banks using meta-heuristic algorithms in CSD space. [PDF]
Kalathil S, Elias E.
europepmc +1 more source
A systematic strategy to incorporate intensification and diversification into ant colony optimisation [PDF]
Randall, Marcus
core
Correction: Performance improvement of DC motor control system using PID controller with Kookaburra and Red Panda optimization algorithm. [PDF]
Saravanan G, Pazhanimuthu C, Naveen P.
europepmc +1 more source
Production routing decisions in a two‐echelon supply chain with multiple delivery modes
Abstract We study an original two‐echelon production routing problem with multiple delivery modes (2E‐PRP‐MDM). In the first echelon, the primary production facility is tasked with satisfying the demands of two distinct entities: a set of warehouses and a set of customers through direct shipments. In the second echelon, warehouses become delivery hubs,
Rachida Benfedel +2 more
wiley +1 more source
Multi-UAV-Borne Surveillance Radar Trajectory Planning Method Based on Imitation Learning. [PDF]
Gao X, Li M, Guan K, Ge J.
europepmc +1 more source
ABSTRACT Organizations are increasingly using powerful AI aids to support decision‐making. Yet, performance improvements are difficult to predict, in part because employees vary in how they use them. We propose that such behavioral variation may stem from differences in how employees appraise these aids.
Oneg Singer +2 more
wiley +1 more source

