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Stefano Moretti

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9 papers
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9

AAMAS Conference 2026 Conference Paper

A Ceteris Paribus Borda Solution to the Social Ranking Problem

  • Rachel Ruellé
  • Stefano Moretti
  • Meltem Öztürk

In our society, individuals are often rewarded based on their merits when they work in cooperation. Therefore, we need to design solutions that can fairly rank individuals based on their contribution to the success achieved by alternative groups or coalitions. In this paper, we focus on a novel social ranking solution where individuals are ranked based on the pairwise comparison of coalitions that differ for one single element (referred to in the literature as Ceteris Paribus (CP-)comparison). We first introduce a set of axioms inspired by voting theory and social ranking to establish properties that a solution should satisfy when only a limited number of coalition is considered. Then, we show that our set of axioms uniquely characterizes a new solution that mimics a Borda rule computed over a coalitional preorder. These axioms include the one of desirability, a very well-established property in the setting of coalitional games but never used before in connection with a Borda rule. The other axioms, specifically neutrality, separability, and cancellation, are properties reflecting eponymous axioms in voting theory.

AAMAS Conference 2025 Conference Paper

Social Ranking for Feature Selection

  • Laurent Gourvès
  • Stefano Moretti
  • Satya Tamby

In this paper, we focus on limitations in the use of the Shapley value within the field of eXplainable AI (XAI) through the lens of the axiomatic analysis and its implications in the realm of machine learning. As an alternative to the Shapley value, we analyse the properties of the lex-cel, a social ranking solution introduced in the recent literature at the intersection between coalitional games and social choice theory, showing that axioms characterizing the lex-cel, under certain circumstances, are more suitable for ranking features in machine learning models, compared to those satisfied by the Shapley value. Via experiments conducted on public datasets, we also show that the lex-cel outperforms a commonly employed feature selection algorithm based on the Shapley value, in particular with respect to the capacity of selecting less redundant features.

AAMAS Conference 2024 Conference Paper

Value Alignment in Participatory Budgeting

  • Marc Serramia
  • Maite Lopez-Sanchez
  • Juan A. Rodriguez-Aguilar
  • Stefano Moretti

Participatory budgeting empowers citizens to take an active role in shaping their government’s policies by influencing the allocation of a limited budget. In this process, citizens file various proposals and then collectively decide which ones should receive funding through a voting system. While participatory budgets have garnered significant attention in research and practice, one aspect so far overlooked is the ethical dimension of the proposals. Thus, beyond just gauging citizen preferences, we propose also to consider how these initiatives align with the government’s core values. Specifically, we apply optimisation techniques to solve a multi-criteria decision problem that considers both citizen support and value alignment when choosing the proposals to fund. We illustrate our method in two real case studies and analyse how we can combine both criteria in an egalitarian way that does not necessarily compromise the will of citizens and may encourage governments to broaden the objectives and increase the allocated budget.

AAMAS Conference 2022 Conference Paper

Coalition Formation Games and Social Ranking Solutions

  • Roberto Lucchetti
  • Stefano Moretti
  • Tommaso Rea

A social ranking (solution) over a set N is defined as a map assigning to each coalitional relation (i. e. a ranking over subsets of N) another ranking over the single elements in N. Differently, coalition formation situations, and, in particular, hedonic games, mainly focus on partitions of the set N into disjoint coalitions, which are in general referred to as coalition structures. A coalition structure may be stable according to various notions of stability and the objective is to understand under which conditions a coalition structure is stable. In this paper we merge the framework of coalition formation with the one of social rankings to keep into account the effect of hierarchies within coalitions on the stability of coalition structures. We consider alternative classes of coalition formation games where the preferences of the players over coalitions are induced by a social ranking. More precisely, players compare coalition structures keeping into account both the relative ranking of coalitions to which they belong (according to a coalitional relation) and their position in the social ranking within each coalition. Constructive characterizations of the set of stable coalition structures are provided for alternative classes of hedonic games, together with an impossibility result on the existence of stable coalition structures for (non-hedonic) coalition formation situations.

IJCAI Conference 2022 Conference Paper

On the Ordinal Invariance of Power Indices on Coalitional Games

  • Jean-Paul Doignon
  • Stefano Moretti
  • Meltem Ozturk

In a coalitional game, the coalitions are weakly ordered according to their worths in the game. When moreover a power index is given, the players are ranked according to the real numbers they are assigned by the power index. If any game inducing the same ordering of the coalitions generates the same ranking of the players then, by definition, the game is (ordinally) stable for the power index, which in turn is ordinally invariant for the game. If one is interested in ranking players of a game which is stable, re-computing the power indices when the coalitional worths slightly fluctuate or are uncertain becomes useless. Bivalued games are easy examples of games stable for any power index which is linear. Among general games, we characterize those that are stable for a given linear index. Note that the Shapley and Banzhaf scores, frequently used in AI, are particular semivalues, and all semivalues are linear indices. To check whether a game is stable for a specific semivalue, it suffices to inspect the ordering of the coalitions and to perform some direct computation based on the semivalue parameters.

IJCAI Conference 2020 Conference Paper

Social Ranking Manipulability for the CP-Majority, Banzhaf and Lexicographic Excellence Solutions

  • Tahar Allouche
  • Bruno Escoffier
  • Stefano Moretti
  • Meltem Öztürk

We investigate the issue of manipulability for social ranking rules, where the goal is to rank individuals given the ranking of coalitions formed by them and each individual prefers to reach the highest positions in the social ranking. This problem lies at the intersection of computational social choice and the algorithmic theory of power indices. Different social ranking rules have been recently proposed and studied from an axiomatic point of view. In this paper, we focus on rules representing three classical approaches in social choice theory: the marginal contribution approach, the lexicographic approach and the (ceteris paribus) majority one. We first consider some particular members of these families analysing their resistance to a malicious behaviour of individuals. Then, we analyze the computational complexity of manipulation, and complete our theoretical results with simulations in order to analyse the manipulation frequencies and to assess the effects of manipulations.

IJCAI Conference 2019 Conference Paper

An Ordinal Banzhaf Index for Social Ranking

  • Hossein Khani
  • Stefano Moretti
  • Meltem Öztürk

We introduce a new method to rank single elements given an order over their sets. For this purpose, we extend the game theoretic notion of marginal contribution and of Banzhaf index to our ordinal framework. Furthermore, we characterize the resulting ordinal Banzhaf solution by means of a set of properties inspired from those used to axiomatically characterize another solution from the literature: the ceteris paribus majority. Finally, we show that the computational procedure for these two social ranking solutions boils down to a weighted combination of comparisons over the same subsets of elements.

IJCAI Conference 2018 Conference Paper

Ceteris paribus majority for social ranking

  • Adrian Haret
  • Hossein Khani
  • Stefano Moretti
  • Meltem Öztürk

We study the problem of finding a social ranking over individuals given a ranking over coalitions formed by them. We investigate the use of a ceteris paribus majority principle as a social ranking solution inspired from the classical axioms of social choice theory. Faced with a Condorcet-like paradox, we analyze the consequences of restricting the domain according to an adapted version of single-peakedness. We conclude with a discussion on different interpretations of incompleteness of the ranking over coalitions and its exploitation for defining new social rankings, providing a new rule as an example.

KR Conference 2012 Conference Paper

Ranking sets of possibly interacting objects using Shapley extensions

  • Stefano Moretti
  • Alexis Tsoukiàs

the objective to axiomatically characterize families of ordinal preferences over subsets (Barberà, Barrett, and Pattanaik 1984; Barberà, Bossert, and Pattanaik 2004; Bossert 1995; Bossert et al. 1994; Geist and Endriss 2011; Fishburn 1992; Kannai and Peleg 1984; Kreps 1979). In this context, an order w on the power set 2X is an extension of a primitive order < on X if and only if the relative ranking of any two singleton sets according to w is the same as the relative ranking of the corresponding alternatives according to <. The interpretation of the properties used to characterize extensions is deeply interconnected to the meaning that is attributed to sets. According to the survey of Barberà, Bossert, and Pattanaik (2004), the main contributions from the literature on ranking sets of objects may be grouped in three main classes of problems: 1) complete uncertainty, where a decision maker is asked to rank sets which are considered as formed by mutually exclusive objects (i. e., only one object from a set will materialize), and taking into account that he cannot influence the selection of an object from a set (Barberà, Barrett, and Pattanaik 1984; Kannai and Peleg 1984; Nitzan and Pattanaik 1984); 2) opportunity sets, where sets contain again mutually exclusive objects but, in this case, a decision maker compares sets taking into account that he can select a single element (and only one) from a set (Bossert et al. 1994; Kreps 1979; Puppe 1996); 3) sets as final outcomes, where each set contains objects that are assumed to materialize simultaneously, if that set is selected (Bossert 1995; Fishburn 1992; Roth 1985). This paper is devoted to the analysis of extensions for problems of the third class, where sets are formed by objects that are assumed to materialize at the same time. This situation can be observed in many different contexts like, for example, the college admission problem (Gale and Shapley 1962; Roth 1985), where different colleges need to rank sets of students based on their ranking of individual applicants. For these kind of problems, most of the axiomatic approaches from the literature focused on properties suggesting that the interaction among single objects should not play a relevant role in establishing the ranking among subsets (Bossert 1995; Roth 1985). For instance, the property of responsiveness, introduced by Roth (1985), says that a set S ⊆ X is preferred to a set T ⊆ X whenever S is obtained from T by replacing some object t ∈ T with an- We deal with the problem of how to extend a preference relation over a set X of “objects” to the set of all subsets of X. This problem has been carried out in the tradition of the literature on extending an order on a set to its power set with the objective to analyze the axiomatic structure of families of rankings over subsets. In particular, most of these approaches make use of axioms aimed to prevent any kind of interaction among the objects in X. In this paper, we apply coalitional games to study the problem of extending preferences over a finite set X to its power set 2X. A coalitional game can be seen as a numerical representation of a preference extension on 2X. We focus on a particular class of extensions on 2X such that the ranking induced by the Shapley value of each coalitional game representing an extension in this class, coincides with the original preference on X. Some properties of Shapley extensions are discussed, with the objective to justify and contextualize the application of Shapley extensions to the problem of ranking sets of possibly interacting objects.

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