Truthful Cake Sharing

The classic cake cutting problem concerns the fair allocation of a heterogeneous resource among interested agents. In this paper, we study a public goods variant of the problem, where instead of competing with one another for the cake, the agents all share the same subset of the cake which must be chosen subject to a length constraint. We focus on the design of truthful and fair mechanisms in the presence of strategic agents who have piecewise uniform utilities over the cake. On the one hand, we show that the leximin solution is truthful and moreover maximizes an egalitarian welfare measure among all truthful and position oblivious mechanisms. On the other hand, we demonstrate that the maximum Nash welfare solution is truthful for two agents but not in general. Our results assume that mechanisms can block each agent from accessing parts that the agent does not claim to desire; we provide an impossibility result when blocking is not allowed.

[1]  Simina Brânzei,et al.  A Dictatorship Theorem for Cake Cutting , 2015, IJCAI.

[2]  Erel Segal-Halevi,et al.  Monotonicity and competitive equilibrium in cake-cutting , 2015 .

[3]  Ning Chen,et al.  Cake Cutting: Envy and Truth , 2017, IJCAI.

[4]  Ariel D. Procaccia,et al.  The Unreasonable Fairness of Maximum Nash Welfare , 2016, EC.

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

[6]  Steven J. Brams,et al.  Fair division - from cake-cutting to dispute resolution , 1998 .

[7]  Piotr Faliszewski,et al.  Multiwinner Voting: A New Challenge for Social Choice Theory , 2017 .

[8]  Pasin Manurangsi,et al.  Computing an Approximately Optimal Agreeable Set of Items , 2016, IJCAI.

[9]  Ioannis Caragiannis,et al.  The Efficiency of Fair Division , 2009, Theory of Computing Systems.

[10]  Ariel D. Procaccia,et al.  Fair Division with Binary Valuations: One Rule to Rule Them All , 2020, WINE.

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

[12]  Biaoshuai Tao On Existence of Truthful Fair Cake Cutting Mechanisms , 2021, ArXiv.

[13]  Piotr Faliszewski,et al.  Finding a collective set of items: From proportional multirepresentation to group recommendation , 2014, Artif. Intell..

[14]  Tim Roughgarden,et al.  Almost Envy-Freeness with General Valuations , 2017, SODA.

[15]  Haris Aziz,et al.  Cake Cutting Algorithms for Piecewise Constant and Piecewise Uniform Valuations , 2013, WINE.

[16]  Warut Suksompong,et al.  Constraints in fair division , 2021, SIGecom Exch..

[17]  Vijay Menon,et al.  Deterministic, Strategyproof, and Fair Cake Cutting , 2017, IJCAI.

[18]  Ariel D. Procaccia,et al.  How to Cut a Cake Before the Party Ends , 2013, AAAI.

[19]  H. Moulin,et al.  Random Matching under Dichotomous Preferences , 2004 .

[20]  Xiaohui Bei,et al.  Truthful fair division without free disposal , 2018, Social Choice and Welfare.

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

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

[23]  Scott Shenker,et al.  Fair and Efficient Memory Sharing: Confronting Free Riders , 2019, AAAI.

[24]  Ariel D. Procaccia,et al.  Truth, justice, and cake cutting , 2010, Games Econ. Behav..

[25]  Jack M. Robertson,et al.  Cake-cutting algorithms - be fair if you can , 1998 .

[26]  Noam Nisan,et al.  Incentive Compatible Two Player Cake Cutting , 2012, WINE.

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

[28]  Ariel D. Procaccia Cake Cutting Algorithms , 2016, Handbook of Computational Social Choice.