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Safe Pareto improvements for delegated game playing

Publication ,  Journal Article
Oesterheld, C; Conitzer, V
Published in: Autonomous Agents and Multi Agent Systems
October 1, 2022

A set of players delegate playing a game to a set of representatives, one for each player. We imagine that each player trusts their respective representative’s strategic abilities. Thus, we might imagine that per default, the original players would simply instruct the representatives to play the original game as best as they can. In this paper, we ask: are there safe Pareto improvements on this default way of giving instructions? That is, we imagine that the original players can coordinate to tell their representatives to only consider some subset of the available strategies and to assign utilities to outcomes differently than the original players. Then can the original players do this in such a way that the payoff is guaranteed to be weakly higher than under the default instructions for all the original players? In particular, can they Pareto-improve without probabilistic assumptions about how the representatives play games? In this paper, we give some examples of safe Pareto improvements. We prove that the notion of safe Pareto improvements is closely related to a notion of outcome correspondence between games. We also show that under some specific assumptions about how the representatives play games, finding safe Pareto improvements is NP-complete.

Duke Scholars

Published In

Autonomous Agents and Multi Agent Systems

DOI

EISSN

1573-7454

ISSN

1387-2532

Publication Date

October 1, 2022

Volume

36

Issue

2

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4602 Artificial intelligence
  • 1702 Cognitive Sciences
  • 0803 Computer Software
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Oesterheld, C., & Conitzer, V. (2022). Safe Pareto improvements for delegated game playing. Autonomous Agents and Multi Agent Systems, 36(2). https://doi.org/10.1007/s10458-022-09574-6
Oesterheld, C., and V. Conitzer. “Safe Pareto improvements for delegated game playing.” Autonomous Agents and Multi Agent Systems 36, no. 2 (October 1, 2022). https://doi.org/10.1007/s10458-022-09574-6.
Oesterheld C, Conitzer V. Safe Pareto improvements for delegated game playing. Autonomous Agents and Multi Agent Systems. 2022 Oct 1;36(2).
Oesterheld, C., and V. Conitzer. “Safe Pareto improvements for delegated game playing.” Autonomous Agents and Multi Agent Systems, vol. 36, no. 2, Oct. 2022. Scopus, doi:10.1007/s10458-022-09574-6.
Oesterheld C, Conitzer V. Safe Pareto improvements for delegated game playing. Autonomous Agents and Multi Agent Systems. 2022 Oct 1;36(2).
Journal cover image

Published In

Autonomous Agents and Multi Agent Systems

DOI

EISSN

1573-7454

ISSN

1387-2532

Publication Date

October 1, 2022

Volume

36

Issue

2

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4602 Artificial intelligence
  • 1702 Cognitive Sciences
  • 0803 Computer Software
  • 0801 Artificial Intelligence and Image Processing