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b/joss.07020/10.21105.joss.07020.crossref.xml new file mode 100644 index 000000000..153ddec99 --- /dev/null +++ b/joss.07020/10.21105.joss.07020.crossref.xml @@ -0,0 +1,344 @@ + + + + 20250128164700-9f693a915e9804bd44ffec79f3cfa434176f6154 + 20250128164700 + + JOSS Admin + admin@theoj.org + + The Open Journal + + + + + Journal of Open Source Software + JOSS + 2475-9066 + + 10.21105/joss + https://joss.theoj.org + + + + + 01 + 2025 + + + 10 + + 105 + + + + pref_voting: The Preferential Voting Tools package for Python + + + + Wesley H. + Holliday + + University of California, Berkeley + + https://orcid.org/0000-0001-6054-9052 + + + Eric + Pacuit + + University of Maryland + + https://orcid.org/0000-0002-0751-9011 + + + + 01 + 28 + 2025 + + + 7020 + + + 10.21105/joss.07020 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + 10.5281/zenodo.14675584 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/7020 + + + + 10.21105/joss.07020 + https://joss.theoj.org/papers/10.21105/joss.07020 + + + https://joss.theoj.org/papers/10.21105/joss.07020.pdf + + + + + + Social choice and individual values + Arrow + 10.12987/9780300186987 + 1963 + Arrow, K. 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Clarendon Press. + + + A richer understanding of the complexity of election systems + Faliszewski + Fundamental problems in computing: Essays in honor of Professor Daniel J. Rosenkrantz + 10.1007/978-1-4020-9688-4_14 + 2009 + Faliszewski, P., Hemaspaandra, E., Hemaspaandra, L., & Rothe, J. (2009). A richer understanding of the complexity of election systems. In S. Ravi & S. Shukla (Eds.), Fundamental problems in computing: Essays in honor of Professor Daniel J. Rosenkrantz. Springer-Verlag. https://doi.org/10.1007/978-1-4020-9688-4_14 + + + Review of paradoxes afflicting procedures for electing a single candidate + Felsenthal + Electoral systems: Paradoxes, assumptions and procedures + 10.1007/978-3-642-20441-8_3 + 2012 + Felsenthal, D. S. (2012). Review of paradoxes afflicting procedures for electing a single candidate. Electoral Systems: Paradoxes, Assumptions and Procedures, 19–92. https://doi.org/10.1007/978-3-642-20441-8_3 + + + The theory of social choice + Fishburn + 10.1515/9781400868339 + 1973 + Fishburn, P. C. (1973). The theory of social choice. Princeton University Press. https://doi.org/10.1515/9781400868339 + + + Computer-aided methods for social choice theory + Geist + Trends in computational social choice + 2017 + Geist, C., & Peters, D. (2017). Computer-aided methods for social choice theory. In U. Endriss (Ed.), Trends in computational social choice (pp. 249–267). AI Access. https://archive.illc.uva.nl/COST-IC1205/BookDocs/Chapters/TrendsCOMSOC-13.pdf + + + Rolling the dice: Recent results in probabilistic social choice + Brandt + Trends in computational social choice + 2017 + Brandt, F. (2017). Rolling the dice: Recent results in probabilistic social choice. In U. Endriss (Ed.), Trends in computational social choice (pp. 3–26). AI Access. https://archive.illc.uva.nl/COST-IC1205/BookDocs/Chapters/TrendsCOMSOC-01.pdf + + + Statistical evaluation of voting rules + Green-Armytage + Social Choice and Welfare + 46 + 10.1007/s00355-015-0909-0 + 2016 + Green-Armytage, J., Tideman, T. N., & Cosman, R. (2016). Statistical evaluation of voting rules. Social Choice and Welfare, 46, 183–212. https://doi.org/10.1007/s00355-015-0909-0 + + + Learning how to vote with principles: Axiomatic insights into the collective decisions of neural networks + Hornischer + 2024 + Hornischer, L., & Terzopoulou, Z. (2024). Learning how to vote with principles: Axiomatic insights into the collective decisions of neural networks. https://arxiv.org/abs/2410.16170 + + + Learning to manipulate under limited information + Holliday + Proceedings of the 39th annual AAAI conference on artificial intelligence (AAAI-25) + 2025 + Holliday, W. H., Kristoffersen, A., & Pacuit, E. (2025). Learning to manipulate under limited information. Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25). https://arxiv.org/abs/2401.16412 + + + Social choice theory: An introduction + Kelly + 10.1007/978-3-662-09925-4 + 1988 + Kelly, J. S. (1988). Social choice theory: An introduction. Springer. https://doi.org/10.1007/978-3-662-09925-4 + + + abcvoting: A python package for approval-based multi-winner voting rules + Lackner + Journal of Open Source Software + 81 + 8 + 10.21105/joss.04880 + 2023 + Lackner, M., Regner, P., & Krenn, B. (2023). abcvoting: A python package for approval-based multi-winner voting rules. Journal of Open Source Software, 8(81), 4880. https://doi.org/10.21105/joss.04880 + + + PrefLib: A library of preference data + Mattei + Proceedings of third international conference on algorithmic decision theory (ADT 2013) + 10.1007/978-3-642-41575-3_20 + 2013 + Mattei, N., & Walsh, T. (2013). PrefLib: A library of preference data. Proceedings of Third International Conference on Algorithmic Decision Theory (ADT 2013), 259–270. https://doi.org/10.1007/978-3-642-41575-3_20 + + + Making multicandidate elections more democratic + Merrill + 10.1515/9781400859504 + 1988 + Merrill, S. (1988). Making multicandidate elections more democratic. Princeton University Press. https://doi.org/10.1515/9781400859504 + + + A unified theory of voting: Directional and proximity spatial models + Merrill + 10.1017/CBO9780511605864 + 1999 + Merrill, S., & Grofman, B. (1999). A unified theory of voting: Directional and proximity spatial models. Cambridge University Press. https://doi.org/10.1017/CBO9780511605864 + + + Comparing voting systems + Nurmi + 10.1007/978-94-009-3985-1 + 1987 + Nurmi, H. (1987). Comparing voting systems. D. Reidel. https://doi.org/10.1007/978-94-009-3985-1 + + + Voting paradoxes and how to deal with them + Nurmi + 10.1007/978-3-662-03782-9 + 1999 + Nurmi, H. (1999). Voting paradoxes and how to deal with them. Springer. https://doi.org/10.1007/978-3-662-03782-9 + + + Voting methods + Pacuit + The Stanford Encyclopedia of Philosophy + 2019 + Pacuit, E. (2019). Voting methods. In E. N. Zalta (Ed.), The Stanford Encyclopedia of Philosophy (Fall 2019). https://plato.stanford.edu/archives/fall2019/entries/voting-methods/; Metaphysics Research Lab, Stanford University. + + + Collective choice and social welfare: An expanded edition + Sen + 10.4159/9780674974616 + 2017 + Sen, A. (2017). Collective choice and social welfare: An expanded edition. Harvard University Press. https://doi.org/10.4159/9780674974616 + + + Votelib: Evaluation of voting systems in python + Šimbera + GitHub repository + 2021 + Šimbera, J. (2021). Votelib: Evaluation of voting systems in python. In GitHub repository. GitHub. https://github.com/simberaj/votelib + + + Pref.tools: Tools that are useful for analyzing preferences + Peters + 2024 + Peters, D. (2024). Pref.tools: Tools that are useful for analyzing preferences. https://pref.tools + + + Abif + Lanphier + GitHub repository + 2024 + Lanphier, R. (2024). Abif. In GitHub repository. GitHub. https://github.com/electorama/abif + + + VoteKit + MGGG Redistricting Lab + GitHub repository + 2024 + MGGG Redistricting Lab. (2024). VoteKit. In GitHub repository. GitHub. https://github.com/mggg/VoteKit + + + Social choice and the mathematics of manipulation + Taylor + 10.1017/cbo9780511614316 + 2005 + Taylor, A. D. (2005). Social choice and the mathematics of manipulation. Cambridge University Press. https://doi.org/10.1017/cbo9780511614316 + + + Collective decisions and voting: The potential for public choice + Tideman + 10.4324/9781315259963 + 2006 + Tideman, N. (2006). Collective decisions and voting: The potential for public choice. Routledge. https://doi.org/10.4324/9781315259963 + + + Introduction to the theory of voting + Zwicker + Handbook of computational social choice + 10.1017/cbo9781107446984.003 + 2016 + Zwicker, W. S. (2016). Introduction to the theory of voting. In F. Brandt, V. Conitzer, U. Endriss, J. Lang, & A. D. Procaccia (Eds.), Handbook of computational social choice (pp. 23–56). Cambridge University Press. https://doi.org/10.1017/cbo9781107446984.003 + + + + + + From 62ab056dada514594167c0e05898df5a0cab1b71 Mon Sep 17 00:00:00 2001 From: The Open Journals editorial robot <89919391+editorialbot@users.noreply.github.com> Date: Tue, 28 Jan 2025 16:47:27 +0000 Subject: [PATCH 3/3] Creating 10.21105.joss.07020.jats --- .../paper.jats/10.21105.joss.07020.jats | 822 ++++++++++++++++++ 1 file changed, 822 insertions(+) create mode 100644 joss.07020/paper.jats/10.21105.joss.07020.jats diff --git a/joss.07020/paper.jats/10.21105.joss.07020.jats b/joss.07020/paper.jats/10.21105.joss.07020.jats new file mode 100644 index 000000000..54ff78aab --- /dev/null +++ b/joss.07020/paper.jats/10.21105.joss.07020.jats @@ -0,0 +1,822 @@ + + +
+ + + + +Journal of Open Source Software +JOSS + +2475-9066 + +Open Journals + + + +7020 +10.21105/joss.07020 + +pref_voting: The Preferential Voting Tools package for +Python + + + +https://orcid.org/0000-0001-6054-9052 + +Holliday +Wesley H. + + + + +https://orcid.org/0000-0002-0751-9011 + +Pacuit +Eric + + + + + +University of California, Berkeley + + + + +University of Maryland + + + + +17 +1 +2024 + +10 +105 +7020 + +Authors of papers retain copyright and release the +work under a Creative Commons Attribution 4.0 International License (CC +BY 4.0) +2025 +The article authors + +Authors of papers retain copyright and release the work under +a Creative Commons Attribution 4.0 International License (CC BY +4.0) + + + +Python +voting methods +voting paradoxes +social choice theory +utility functions + + + + + + Summary +

Preferential Voting Tools (pref_voting) is a + Python package designed for research in voting theory + (Brams + & Fishburn, 2002; + Dummett, + 1984; + Pacuit, + 2019; + Tideman, + 2006; + Zwicker, + 2016), a subfield of social choice theory + (Arrow, + 1963; + Fishburn, + 1973; + Kelly, + 1988; + Sen, + 2017), and for practical applications of the theory. The basic + problem of voting theory concerns how to combine “inputs” from + multiple individual voters into a single social “output”. For example, + a common type of input from each voter is a ranking + of some set of candidates, while a common type of social output is the + selection of a winning candidate (or perhaps a set of + candidates tied for winning). A voting method is then + a function that takes in a ranking from each voter and outputs a + winning candidate (or set of tied candidates). Other functions may + instead output a social ranking of the candidates + (Arrow, + 1963) or a probability distribution over the candidates + (Brandt, + 2017), and other input types are also possible, such as sets of + approved candidates + (Brams + & Fishburn, 2007), or assignments of grades to candidates + (Balinski + & Laraki, 2010), or real-valued functions on the set of + candidates + (d’Aspremont + & Gevers, 2002; + Sen, + 2017). Faced with a function of any of these types, voting + theorists study the function from several perspectives, including the + general principles or “axioms” it satisfies + (Felsenthal, + 2012; + Nurmi, + 1987, + 1999), its + susceptibility to manipulation by strategic voters + (Taylor, + 2005), its statistical behavior according to probability models + for generating voter inputs + (Green-Armytage + et al., 2016; + Merrill, + 1988), the complexity of the function and related computational + problems (e.g., the problem of determining if the function can be + manipulated in a given election) + (Faliszewski + et al., 2009), and more. These studies are greatly facilitated + by the implementation of algorithms for computing the relevant + functions and checking their properties, which are provided in + pref_voting.

+
+ + Statement of need +

Research in the burgeoning field of computational social + choice (COMSOC) + (Aziz + et al., 2019; + Brandt + et al., 2016; + Geist + & Peters, 2017) often applies computer-assisted techniques + to the study of voting methods and other collective decision + procedures. The aim of pref_voting is to + contribute to a comprehensive set of tools for such research. Other + packages in this area include abcvoting + (Lackner + et al., 2023), which focuses on approval-based committee + voting, preflibtools + (Mattei + & Walsh, 2013), which contains tools for working with + preference data from + PrefLib.org, + and prefsampling + (Boehmer + et al., 2024), which implements probability models for + generating voter rankings. The pref_voting + package provides functionality not available in these previous + packages, while also interfacing with + preflibtools and + prefsampling. Like + pref_voting, the VoteKit + (MGGG + Redistricting Lab, 2024) and VoteLib + (Šimbera, + 2021) packages provide implementations of a number of voting + methods; and like prefsampling, + VoteKit provides tools for generating + elections. However, neither package includes all the voting methods + and functionality in pref_voting, as described + below. The pref_voting package has already been + used in COMSOC research + (Holliday + et al., 2025; + Hornischer + & Terzopoulou, 2024) and in online COMSOC tools + (Peters, + 2024). The package can also be used by election administrators + to determine election outcomes, as it is used in the + Stable + Voting website.

+
+ + Functionality + + Elections +

The pref_voting package includes classes + for the most important representations of elections, or types of + edata, used in voting theory:

+ + +

Profile: each voter linearly orders + the candidates;

+
+ +

ProfileWithTies: each voter ranks the + candidates, allowing ties and omissions of candidates;

+
+ +

GradeProfile: each voter assigns + grades from some finite list of grades to selected candidates + (with approval ballots as a special case);

+
+ +

UtilityProfile: each voter assigns a + real number to each candidate;

+
+ +

SpatialProfile: each voter and each + candidate is placed in a multi-dimensional space;

+
+ +

MajorityGraph: an edge from candidate + A to candidate B represents that more voters rank A above B than + vice versa;

+
+ +

MarginGraph: a weighted version of a + MajorityGraph, where the weight on an + edge represents the margin of victory (or other measure of + strength of majority preference).

+
+
+

The package also includes methods for transforming one type of + representation into another, e.g., turning a + SpatialProfile into a + UtilityProfile given a choice of how spatial + positions of voters and candidates determine voter utility functions + (Merrill + & Grofman, 1999), or turning a + MarginGraph into a minimal + Profile that induces that + MarginGraph by solving an associated linear + program, and so on. Other methods are included for standard + voting-theoretic tests and operations, e.g., testing for the + existence of Condorcet winners/losers, removing candidates, and so + on. Methods are also included to import from and export to the + PrefLib preference data format, the ABIF format + (Lanphier, + 2024), and other data formats.

+
+ + Generating elections +

For sampling profiles according to standard probability models, + pref_voting interfaces with the + prefsampling package. In addition, + pref_voting contains functions for sampling + other types of edata listed above, as well as + functions for enumerating such objects up to certain equivalence + relations.

+
+ + Collective decision procedures +

Several classes of collective decision procedures are built into + pref_voting:

+ + +

VotingMethod: given + edata, outputs a list of candidates, + representing tied winners;

+
+ +

ProbVotingMethod: given + edata, outputs a dictionary whose keys + are candidates and whose values are probabilities;

+
+ +

SocialWelfareFunction: given + edata, outputs a ranking of the + candidates.

+
+
+

Dozens of such functions are implemented in + pref_voting and organized into standard + groups identified in voting theory, e.g., positional scoring rules, + iterative methods, margin-based methods (weighted tournament + solutions), and cardinal methods.

+
+ + Axioms +

The pref_voting package also contains an + Axiom class for functions that check whether + a collective decision procedure satisfies a given axiom with respect + to some edata. Each axiom comes with a + has_violation method that checks whether + there is at least one violation of the axiom by the procedure for + the given edata, as well as a + find_all_violations method that enumerates + all such violations together with relevant data. Axioms are divided + into several well-known groups from voting theory, e.g., dominance + axioms, monotonicity axioms, variable voter axioms, and variable + candidate axioms.

+
+ + Analysis +

Finally, pref_voting comes with functions + that facilitate the analysis of collective decision procedures, such + as producing data on the frequency of axiom violations in elections + generated using one of the available probability models.

+
+
+ + Acknowledgements +

We thank Jobst Heitzig and Dominik Peters for helpful + contributions, Zoi Terzopoulou for helpful feature requests, and all + three for helpful feedback on this paper.

+
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