A Tractable Truthful Profit Maximization Mechanism Design With Autonomous Agents
A Tractable Truthful Profit Maximization Mechanism Design With Autonomous Agents is a scholarly work, published in 2024 in ''IEEE Transactions on Automatic Control''. The main subjects of the publication include economic profit, maximization, incentive compatibility, mathematical economics, auction theory, profit maximization, task, convex function, convex optimization, incentive, mathematical optimization, biological function, operations research, regular polygon, biological mechanism, mechanism design, computer science, and blockchain. The authors propose a new profit maximization mechanism for the task allocation problem, where the task publisher seeks an optimal incentive function to maximize its own profit and simultaneously ensure the truthful announcing of the agent?s private information (type) and its participation in the task, while an autonomous agent aims at maximizing its own utility function by deciding on its participation level and announced type.