ERC Starting Grant · 2025
Algorithmics of Stochastic Principal-Agent Coordination
When making decisions, autonomous agents rely on their own incentives and private information. When these factors diverge, conflicts can arise, leading to inefficiencies or suboptimal outcomes. Economists have studied this phenomenon under the principal-agent framework, where the principal seeks to coordinate the agents so that the agents' rational choices align with the principal's objectives. This framework is gaining increasing attention, especially in the era of AI, where automated agents become more capable of making decisions autonomously. In computer science, algorithmic approaches to principal-agent coordination strategies have become an area of growing interest, giving rise to…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.