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A Complexity-of-Strategic-Behavior Comparison Between Schulze's Rule and Ranked Pairs

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2012

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American Association for Artificial Intelligence
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Parkes, David C., and Lirong Xia. 2012. A complexity-of-strategic-behavior comparison between Schulze's rule and ranked pairs. Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI '12), July 22–26, 2012, Ontario, Canada, 1429-1435. AAAI Press.

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Abstract

Schulze's rule and ranked pairs are two Condorcet methods that both satisfy many natural axiomatic properties. Schulze's rule is used in the elections of many organizations, including the Wikimedia Foundation, the Pirate Party of Sweden and Germany, the Debian project, and the Gento Project. Both rules are immune to control by cloning alternatives, but little is otherwise known about their strategic robustness, including resistance to manipulation by one or more voters, control by adding or deleting alternatives, adding or deleting votes, and bribery. Considering computational barriers, we show that these types of strategic behavior are NP-hard for ranked pairs (both constructive, in making an alternative a winner, and destructive, in precluding an alternative from being a winner). Schulze's rule, in comparison, remains vulnerable at least to constructive manipulation by a single voter and destructive manipulation by a coalition. As the first such polynomial-time rule known to resist all such manipulations, and considering also the broad axiomatic support, ranked pairs seems worthwhile to consider for practical applications.

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