Computing Threshold Budgets in Discrete-Bidding Games

Authors Guy Avni, Suman Sadhukhan



PDF
Thumbnail PDF

File

LIPIcs.FSTTCS.2022.30.pdf
  • Filesize: 0.72 MB
  • 18 pages

Document Identifiers

Author Details

Guy Avni
  • University of Haifa, Israel
Suman Sadhukhan
  • University of Haifa, Israel

Acknowledgements

This research was supported in part by ISF grant no. 1679/21.

Cite As Get BibTex

Guy Avni and Suman Sadhukhan. Computing Threshold Budgets in Discrete-Bidding Games. In 42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 250, pp. 30:1-30:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/LIPIcs.FSTTCS.2022.30

Abstract

In a two-player zero-sum graph game, the players move a token throughout the graph to produce an infinite play, which determines the winner of the game. Bidding games are graph games in which in each turn, an auction (bidding) determines which player moves the token: the players have budgets, and in each turn, both players simultaneously submit bids that do not exceed their available budgets, the higher bidder moves the token, and pays the bid to the lower bidder. We distinguish between continuous- and discrete-bidding games. In the latter, the granularity of the players' bids is restricted, e.g., bids must be given in cents. Continuous-bidding games are well understood, however, from a practical standpoint, discrete-bidding games are more appealing. 
In this paper we focus on discrete-bidding games. We study the problem of finding threshold budgets; namely, a necessary and sufficient initial budget for winning the game. Previously, the properties of threshold budgets were only studied for reachability games. For parity discrete-bidding games, thresholds were known to exist, but their structure was not understood. We describe two algorithms for finding threshold budgets in parity discrete-bidding games. The first algorithm is a fixed-point algorithm, and it reveals the structure of the threshold budgets in these games. Second, we show that the problem of finding threshold budgets is in NP and coNP for parity discrete-bidding games. Previously, only exponential-time algorithms where known for reachability and parity objectives. A corollary of this proof is a construction of strategies that use polynomial-size memory.

Subject Classification

ACM Subject Classification
  • Theory of computation → Formal languages and automata theory
  • Theory of computation → Solution concepts in game theory
Keywords
  • Discrete bidding games
  • Richman games
  • parity games
  • reachability games

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads

References

  1. M. Aghajohari, G. Avni, and T. A. Henzinger. Determinacy in discrete-bidding infinite-duration games. In Proc. 30th CONCUR, volume 140 of LIPIcs, pages 20:1-20:17, 2019. Google Scholar
  2. R. Alur, T. A. Henzinger, and O. Kupferman. Alternating-time temporal logic. J. ACM, 49(5):672-713, 2002. Google Scholar
  3. O. Amir, E. Kamar, A. Kolobov, and B. J. Grosz. Interactive teaching strategies for agent training. In Proc. 25th IJCAI, pages 804-811. IJCAI/AAAI Press, 2016. Google Scholar
  4. N. Atzei, M. Bartoletti, and T. Cimoli. A survey of attacks on ethereum smart contracts. IACR Cryptology ePrint Archive, 2016:1007, 2016. Google Scholar
  5. G. Avni and T. A. Henzinger. A survey of bidding games on graphs. In Proc. 31st CONCUR, volume 171 of LIPIcs, pages 2:1-2:21. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. Google Scholar
  6. G. Avni, T. A. Henzinger, and V. Chonev. Infinite-duration bidding games. J. ACM, 66(4):31:1-31:29, 2019. Google Scholar
  7. G. Avni, T. A. Henzinger, and R. Ibsen-Jensen. Infinite-duration poorman-bidding games. In Proc. 14th WINE, volume 11316 of LNCS, pages 21-36. Springer, 2018. Google Scholar
  8. G. Avni, T. A. Henzinger, and Đ. Žikelić. Bidding mechanisms in graph games. In In Proc. 44th MFCS, volume 138 of LIPIcs, pages 11:1-11:13, 2019. Google Scholar
  9. G. Avni, I. Jecker, and Đ. Žikelić. Infinite-duration all-pay bidding games. In Proc. 32nd SODA, pages 617-636, 2021. Google Scholar
  10. G. Avni and S. Sadhukhan. Computing threshold budgets in discrete-bidding games. CoRR, abs/2210.02773, 2022. URL: http://arxiv.org/abs/2210.02773.
  11. J. Bhatt and S. Payne. Bidding chess. Math. Intelligencer, 31:37-39, 2009. Google Scholar
  12. K. Chatterjee, A. K. Goharshady, and Y. Velner. Quantitative analysis of smart contracts. In Proc. 27th ESOP, pages 739-767, 2018. Google Scholar
  13. A. Condon. The complexity of stochastic games. Inf. Comput., 96(2):203-224, 1992. Google Scholar
  14. M. Develin and S. Payne. Discrete bidding games. The Electronic Journal of Combinatorics, 17(1):R85, 2010. Google Scholar
  15. O. Kupferman and M. Y. Vardi. Weak alternating automata and tree automata emptiness. In Proc. 30th STOC, pages 224-233. ACM, 1998. Google Scholar
  16. A. J. Lazarus, D. E. Loeb, J. G. Propp, W. R. Stromquist, and D. H. Ullman. Combinatorial games under auction play. Games and Economic Behavior, 27(2):229-264, 1999. Google Scholar
  17. A. J. Lazarus, D. E. Loeb, J. G. Propp, and D. Ullman. Richman games. Games of No Chance, 29:439-449, 1996. Google Scholar
  18. R. Meir, G. Kalai, and M. Tennenholtz. Bidding games and efficient allocations. Games and Economic Behavior, 112:166-193, 2018. URL: https://doi.org/10.1016/j.geb.2018.08.005.
  19. S. Muthukrishnan. Ad exchanges: Research issues. In Proc. 5th WINE, pages 1-12, 2009. Google Scholar
  20. Y. Peres, O. Schramm, S. Sheffield, and D. B. Wilson. Tug-of-war and the infinity laplacian. J. Amer. Math. Soc., 22:167-210, 2009. Google Scholar
  21. A. Pnueli and R. Rosner. On the synthesis of a reactive module. In Proc. 16th POPL, pages 179-190, 1989. Google Scholar
  22. Wieslaw Zielonka. Infinite games on finitely coloured graphs with applications to automata on infinite trees. Theor. Comput. Sci., 200(1-2):135-183, 1998. URL: https://doi.org/10.1016/S0304-3975(98)00009-7.
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail