CORDIS Project
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This project addresses the complexities of decision-making in autonomous systems using a stochastic principal-agent model. It aims to develop algorithms that enhance coordination between agents and principals in dynamic environments.
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 be…
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