Distribution Rules Under Dichotomous Preferences: Two Out of Three Ain't Bad

We consider a setting in which agents contribute amounts of a divisible resource (such as money or time) to a common pool, which is used to finance projects of public interest. How the collected resources are to be distributed among the projects is decided by a distribution rule that takes as input a set of approved projects for each agent. An important application of this setting is donor coordination, which allows philanthropists to find an efficient and mutually agreeable distribution of their donations. We analyze various distribution rules (including the Nash product rule and the conditional utilitarian rule) in terms of classic as well as new axioms, and propose the first fair distribution rule that satisfies efficiency and monotonicity. Our main result settles a long-standing open question of Bogomolnaia, Moulin, and Stong (2005) by showing that no strategyproof and efficient rule can guarantee that at least one approved project of each agent receives a positive amount of the resource. The proof reasons about 386 preference profiles and was obtained using a computer-aided method involving SAT solvers.

[1]  Joao Marques-Silva,et al.  MUSer2: An Efficient MUS Extractor , 2012, J. Satisf. Boolean Model. Comput..

[2]  Ariel D. Procaccia,et al.  Preference Elicitation For Participatory Budgeting , 2017, AAAI.

[3]  A. Gibbard Manipulation of Schemes That Mix Voting with Chance , 1977 .

[4]  Duncan K. Foley,et al.  Lindahl's Solution and the Core of an Economy with Public Goods , 1970 .

[5]  Felix Brandt,et al.  Rolling the Dice : Recent Results in Probabilistic Social Choice , 2017 .

[6]  Gabriel D. Carroll,et al.  An efficiency theorem for incompletely known preferences , 2010, J. Econ. Theory.

[7]  Felix Brandt,et al.  Proving the Incompatibility of Efficiency and Strategyproofness via SMT Solving , 2016, IJCAI.

[8]  Piotr Faliszewski,et al.  A Framework for Approval-based Budgeting Methods , 2018, AAAI.

[9]  H. Moulin Axioms of Cooperative Decision Making , 1988 .

[10]  Dominik Peters,et al.  Price of Fairness in Budget Division and Probabilistic Social Choice , 2020, AAAI.

[11]  Felix Brandt,et al.  Universal pareto dominance and welfare for plausible utility functions , 2014, EC.

[12]  Armin Biere,et al.  C A D I C A L, K ISSAT , P ARACOOBA , P LINGELING and T REENGELING Entering the SAT Competition 2020 , 2020 .

[13]  Y. Cabannes Participatory budgeting: a significant contribution to participatory democracy , 2004 .

[14]  Felix Brandt,et al.  Consistent Probabilistic Social Choice , 2015, ArXiv.

[15]  Dominik Peters,et al.  Funding Public Projects: A Case for the Nash Product Rule , 2020, WINE.

[16]  Nimrod Talmon,et al.  Proportionally Representative Participatory Budgeting: Axioms and Algorithms , 2017, AAMAS.

[17]  Conal Duddy,et al.  Fair sharing under dichotomous preferences , 2015, Math. Soc. Sci..

[18]  Ulle Endriss,et al.  Analysing Irresolute Multiwinner Voting Rules with Approval Ballots via SAT Solving , 2020, ECAI.

[19]  Richard Stong,et al.  Collective choice under dichotomous preferences , 2005, J. Econ. Theory.

[20]  H. Moulin Condorcet's principle implies the no show paradox , 1988 .

[21]  Kamesh Munagala,et al.  Fair Allocation of Indivisible Public Goods , 2018, EC.

[22]  Ulrich Endriss,et al.  Automated Search for Impossibility Theorems in Social Choice Theory: Ranking Sets of Objects , 2014, J. Artif. Intell. Res..

[23]  Mengqi Zhang,et al.  Price of Fairness in Budget Division for Egalitarian Social Welfare , 2020, COCOA.

[24]  Felix Brandt,et al.  Optimal Bounds for the No-Show Paradox via SAT Solving , 2016, AAMAS.

[25]  David M. Pennock,et al.  Truthful Aggregation of Budget Proposals , 2019, EC.

[26]  Dominik Peters,et al.  Proportionality and Strategyproofness in Multiwinner Elections , 2018, AAMAS.

[27]  Kamesh Munagala,et al.  The Core of the Participatory Budgeting Problem , 2016, WINE.

[28]  Felix Brandt,et al.  Universal Pareto dominance and welfare for plausible utility functions , 2015 .

[29]  Fangzhen Lin,et al.  Computer-Aided Proofs of Arrow's and Other Impossibility Theorems , 2008, AAAI.

[30]  Haris Aziz,et al.  Fair Mixing: the Case of Dichotomous Preferences , 2017, EC.

[31]  Felix Brandt,et al.  Finding strategyproof social choice functions via SAT solving , 2014, AAMAS.

[32]  Ashish Goel,et al.  Knapsack Voting for Participatory Budgeting , 2019, ACM Trans. Economics and Comput..

[33]  Alan D. Taylor,et al.  The Manipulability of Voting Systems , 2002, Am. Math. Mon..

[34]  Felix Brandt,et al.  Incentives for Participation and Abstention in Probabilistic Social Choice , 2015, AAMAS.

[35]  Bostjan Bresar,et al.  A generalization of Hungarian method and Hall's theorem with applications in wireless sensor networks , 2009, Discret. Appl. Math..

[36]  John Duggan,et al.  Strategic manipulability without resoluteness or shared beliefs: Gibbard-Satterthwaite generalized , 2000, Soc. Choice Welf..

[37]  Ioannis Caragiannis,et al.  Portioning Using Ordinal Preferences: Fairness and Efficiency , 2019, IJCAI.

[38]  Haris Aziz,et al.  Participatory Funding Coordination: Model, Axioms and Rules , 2021, ADT.

[39]  Haris Aziz,et al.  Participatory Budgeting: Models and Approaches , 2020, Pathways Between Social Science and Computational Social Science.

[40]  U. Chatterjee,et al.  Effect of unconventional feeds on production cost, growth performance and expression of quantitative genes in growing pigs , 2022, Journal of the Indonesian Tropical Animal Agriculture.

[41]  Douglas Muzzio,et al.  APPROVAL VOTING , 1983 .