Change section titles and add title for axioms
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@ -97,8 +97,8 @@ to algorithmic complexity and properties. Finally, the gained insight into
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participatory budgeting algorithms will be summarized and an outlook on further
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participatory budgeting algorithms will be summarized and an outlook on further
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developments will be given.
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developments will be given.
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\section{Mathematical Model}
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\section{A Participatory Budgeting Framework}
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\label{sec:mathematical model}
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\label{sec:a participatory budgeting framework}
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\textcite{talmonFrameworkApprovalBasedBudgeting2019} define a participatory
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\textcite{talmonFrameworkApprovalBasedBudgeting2019} define a participatory
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budgeting scenario as a tuple $E = (P,V,c,B)$, consisting of a set of projects
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budgeting scenario as a tuple $E = (P,V,c,B)$, consisting of a set of projects
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@ -355,6 +355,9 @@ algorithm for the maximum rule tries to guess the number of voters that are
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represented by the same project. The estimation is then used to pick a project
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represented by the same project. The estimation is then used to pick a project
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which has the lowest cost and satisfies exactly the estimated amount of voters.
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which has the lowest cost and satisfies exactly the estimated amount of voters.
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\section{Normative Axioms}
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\label{sec:normative axioms}
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\printbibliography
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\printbibliography
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\end{document}
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\end{document}
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