An Ordinal Banzhaf Index for Social Ranking

Hossein Khani, Stefano Moretti, Meltem Öztürk

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Main track. Pages 378-384.

https://doi.org/10.24963/ijcai.2019/54

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Abstract

We introduce a new method to rank single elements given an order over their sets. For this purpose, we extend the game theoretic notion of marginal contribution and of Banzhaf index to our ordinal framework. Furthermore, we characterize the resulting ordinal Banzhaf solution by means of a set of properties inspired from those used to axiomatically characterize another solution from the literature: the ceteris paribus majority. Finally, we show that the computational procedure for these two social ranking solutions boils down to a weighted combination of comparisons over the same subsets of elements.

Keywords

  • Agent-based and Multi-agent Systems: Cooperative Games
  • Knowledge Representation and Reasoning: Knowledge Representation and Game Theory ; Social Choice
  • Agent-based and Multi-agent Systems: Voting
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