This paper considers how a system designer can program a team of autonomous agents to coordinate with one another such that each agent selects (or covers) an individual resource with the goal that all agents collectively cover the maximum number of resources. Specifically, we study how agents...

This article examines the EU-law challenges arising from the use of artificial intelligence for payment initiation and execution (“Payment Agents”) under European Union law. It focuses on Payment Agents that support purchasing workflows and are capable of initiating payments in both...

Credit card fraud detection remains a critical challenge for financial institutions, particularly due to extreme class imbalance and the continuously evolving nature of fraudulent behavior. This study investigates two complementary approaches: anomaly detection based on multivariate normal...

This study examines the factors that influence user trust in AI-powered digital agents within organizational contexts. Employing an integrated framework that combines the Expectation Confirmation Model and the Technology Acceptance Model, we investigated how user expectations, attitudes toward...

Advances in Artificial Intelligence (AI) and Large Language Models (LLMs) have transformed accounting by automating repetitive tasks and enhancing the efficiency of financial reporting. However, their implementation raises challenges related to bias, reliability, and professional adaptation....