Overview

Mechanism design asks how to set rules so that self-interested participants reveal useful information and act in ways that support goals such as efficiency, fairness, or cooperation. It applies tools from game theory and economics to auctions, matching, contracts, voting, and data markets, with incentive compatibility and individual rationality as common design constraints. Alongside theoretical analysis, researchers use simulations, online learning, and differentiable optimization to build mechanisms for changing markets and AI-agent systems. A central tension is that improving welfare or adapting to uncertainty can weaken truthfulness, fairness, or budget balance, especially when participants can manipulate reports or the rules must operate over time.

Latest papers

CardsList

142 papers15 papers in the last four weeks, up 15% on the four weeks before. 0.1% of all new papers.

  1. TiBCLaG: Hybrid design approach for a trigger-induced bistable compliant laparoscopic grasper

    Mar 19, 2026Joel J Nellikkunnel, Prabhat KumarMechanism DesignRobotic Grasping

  2. Content Creation with Spillovers: An Incentive Design Approach

    Mar 15, 2026Sagi Ohayon, Boaz Taitler, Omer Ben-PoratMechanism DesignGame Theory

  3. Deep Incentive Design with Differentiable Equilibrium Blocks

    Mar 8, 2026Vinzenz Thoma, Georgios Piliouras, Luke MarrisMechanism Design

  4. Robodimm: A Physics-Grounded Framework for Automated Actuator Sizing in Scalable Modular Robots

    Mar 6, 2026J. L. Torres, M. Munoz, J. D. Alvarez +2Modular RoboticsMechanism Design

  5. Agentic Service Markets Across the Computing Continuum: A Polymatroidal Architecture

    Mar 5, 2026Lauri Lovén, Alaa Saleh, Reza Farahani +5Mechanism DesignCombinatorial Optimization

  6. Incentive Aware AI Regulations: A Credal Characterisation

    Mar 5, 2026Anurag Singh, Julian Rodemann, Rajeev Verma +2Mechanism DesignImprecise Probability

  7. Computer-Aided Design of Rational Motions for 4R and 6R Spatial Mechanism Synthesis

    Feb 24, 2026Daniel Huczala, Severinas Zube, Martin Pfurner +2Mechanism Design

  8. Morphing of and writing with a scissor linkage mechanism

    Feb 16, 2026Mohanraj A, S Ganga PrasathMechanism Design

  9. LLM-Auction: Generative Auction towards LLM-Native Advertising

    Dec 11, 2025Chujie Zhao, Qun Hu, Shiping Song +4Online AdvertisingMechanism Design

  10. Soft Pneumatic Grippers: Topology optimization, 3D-printing and Experimental validation

    Nov 24, 2025Prabhat Kumar, Chandra Prakash, Josh Pinskier +2Topology OptimizationMechanism Design

  11. Steering Noncooperative Games Through Conjecture Design

    Nov 12, 2025Francesco Morri, Hélène Le Cadre, David Salas +1Mechanism DesignGame Theory

  12. Efficiency, Feasibility, and Incentive-Awareness in Constrained Online Resource Allocation

    Jul 13, 2025Yan Dai, Negin Golrezaei, Patrick JailletGame TheoryOnline Convex Optimization

  13. Non-Obvious Manipulability in Additively Separable and Fractional Hedonic Games

    May 19, 2025Diodato Ferraioli, Maria Fomenko, Giovanna VarricchioCooperative Game TheoryMechanism Design

  14. Design optimization and robustness analysis of rigid-link flapping mechanisms

    Mar 27, 2025Shyam Sunder Nishad, Anupam SaxenaAerial RoboticsMechanism Design

  15. How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?

    Dec 10, 2024Joohyung Lee, Jungchan Cho, Wonjun Lee +2Mechanism DesignSplit Federated Learning

  16. No Screening is More Efficient with Multiple Objects

    Aug 19, 2024Shunya Noda, Genta OkadaMechanism DesignSocial Welfare Maximization

  17. Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning

    Jul 6, 2024Joon Suk Huh, Kirthevasan KandasamyMechanism Design

  18. Data Market Design through Deep Learning

    Oct 31, 2023Sai Srivatsa Ravindranath, Yanchen Jiang, David C. ParkesMechanism DesignInformation Design

  19. Incentives to Offer Algorithmic Recourse

    Jan 27, 2023Matthew Olckers, Toby WalshMechanism DesignAlgorithmic Recourse

  20. Stackelberg POMDP: Learning to Lead via Reinforcement Learning

    Oct 7, 2022Matthias Gerstgrasser, Gianluca Brero, Alon Eden +6Game-Theoretic RLReinforcement Learning