Breaking Barriers, Finding Boundaries: Not Obviously Manipulable Budget-Feasible Mechanism Design

Authors

  • Bart de Keijzer Department of Informatics, King's College London
  • Guido Schäfer Centrum Wiskunde & Informatica (CWI) Institute for Logic, Language and Computation, University of Amsterdam
  • Artem Tsikiridis Department of Computer Science, Technical University of Munich
  • Carmine Ventre Department of Informatics, King's College London

DOI:

https://doi.org/10.1609/aaai.v40i20.38724

Abstract

Strategyproofness has been the holy grail in mechanism design for decades, providing strong incentive compatibility guarantees under the assumption of perfectly rational agents. However, this assumption is questionable when agents exhibit bounded rationality. Moreover, strategyproofness often imposes strong impossibility results that prevent mechanisms from surpassing certain approximation barriers. We study this tension in budget-feasible mechanism design, where a designer wants to procure services of maximum value from agents subject to a budget constraint. Here, strategyproofness imposes approximation barriers of 2.41 and 2 for deterministic and randomized mechanisms, respectively. We investigate how much we can potentially gain under bounded rationality. We adopt the weaker notion of not obviously manipulable (NOM), which only prevents "obvious" strategic deviations. We fully resolve the achievable approximation guarantees under NOM: We derive a deterministic 2-approximate NOM mechanism under the general class of monotone subadditive valuations. We also show that this bound is tight (even for additive valuations). Additionally, we provide a simple randomized NOM mechanism that is approximately optimal. These results demonstrate a clear separation between strategyproof and NOM mechanisms. Our mechanisms use Golden Tickets and Wooden Spoons as natural design primitives, arising from our characterization of NOM mechanisms.

Published

2026-03-14

How to Cite

de Keijzer, B., Schäfer, G., Tsikiridis, A., & Ventre, C. (2026). Breaking Barriers, Finding Boundaries: Not Obviously Manipulable Budget-Feasible Mechanism Design. Proceedings of the AAAI Conference on Artificial Intelligence, 40(20), 16803–16811. https://doi.org/10.1609/aaai.v40i20.38724

Issue

Section

AAAI Technical Track on Game Theory and Economic Paradigms