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Individual Representation in Approval-Based Committee Voting

Computer Science and Game Theory · Submitted 9 Dec 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We show that checking whether an IR outcome exists is computationally intractable, and we verify that all common approval-based voting rules may fail to provide IR even in cases where this is possible.

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arXiv ID2112.05193 (version 2)
Pith IDOIKUFN4I, Pith's permanent record of this paper and its review
CitationEvi Micha, Jannik Peters, Jonas Israel, Markus Brill. "Individual Representation in Approval-Based Committee Voting." arXiv:2112.05193 (2021). https://pith.science/paper/OIKUFN4I
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,611 input tokens.

What the abstract itself states, as probabilities: claims first 0.16 · states limitation 0.83 · human participants 0.06 · controlled comparison 0.06 · randomized assignment 0.02 · states quantitative result 0.07 · compares with prior results 0.84 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

When selecting multiple candidates based on approval preferences of agents, the proportional representation of agents' opinions is an important and well-studied desideratum. Existing criteria for evaluating the representativeness of outcomes focus on groups of agents and demand that sufficiently large and cohesive groups are ''represented'' in the sense that candidates approved by some group members are selected. Crucially, these criteria say nothing about the representation of individual agents, even if these agents are members of groups that deserve representation. In this paper, we formalize the concept of individual representation (IR) and explore to which extent, and under which circumstances, it can be achieved. We show that checking whether an IR outcome exists is computationally intractable, and we verify that all common approval-based voting rules may fail to provide IR even in cases where this is possible. We then focus on domain restrictions and establish an interesting contrast between ''voter interval'' and ''candidate interval'' preferences. This contrast can also be observed in our experimental results, where we analyze the attainability of IR for realistic preference profiles.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 When selecting multiple candidates based on approval preferences of agents, the proportional representation of agents' opinions is an important and well-studied desideratum. background 1.00 0.03 0.02 asserted 1.00
s1 Existing criteria for evaluating the representativeness of outcomes focus on groups of agents and demand that sufficiently large and cohesive groups are ''represented'' in the sense that candidates approved by some group members are selected. background 0.99 0.03 0.03 asserted 1.00
s2 Crucially, these criteria say nothing about the representation of individual agents, even if these agents are members of groups that deserve representation. gap 1.00 0.06 0.06 asserted 1.00
s3 In this paper, we formalize the concept of individual representation (IR) and explore to which extent, and under which circumstances, it can be achieved. contribution 1.00 0.83 0.09 asserted 0.68
s4 We show that checking whether an IR outcome exists is computationally intractable, and we verify that all common approval-based voting rules may fail to provide IR even in cases where this is possible. result 0.99 0.96 0.44 asserted 0.99
s5 We then focus on domain restrictions and establish an interesting contrast between ''voter interval'' and ''candidate interval'' preferences. contribution 0.90 0.80 0.07 asserted 0.98
s6 This contrast can also be observed in our experimental results, where we analyze the attainability of IR for realistic preference profiles. result 0.65 0.94 0.08 asserted 0.92

What kind of paper the classifier reports this is: theoretical result 0.99 · evidence from proof or derivation 0.87.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

When selecting multiple candidates based on approval preferences of agents, the proportional representation of agents' opinions is an important and well-studied desideratum. Existing criteria for evaluating the representativeness of outcomes focus on groups of agents and demand that sufficiently large and cohesive groups are ''represented'' in the sense that candidates approved by some group members are selected. Crucially, these criteria say nothing about the representation of individual agents, even if these agents are members of groups that deserve representation. In this paper, we formalize the concept of individual representation (IR) and explore to which extent, and under which circumstances, it can be achieved. We show that checking whether an IR outcome exists is computationally intractable, and we verify that all common approval-based voting rules may fail to provide IR even in cases where this is possible. We then focus on domain restrictions and establish an interesting contrast between ''voter interval'' and ''candidate interval'' preferences. This contrast can also be observed in our experimental results, where we analyze the attainability of IR for realistic preference profiles.

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