1,707 research outputs found
Consensus theories: an oriented survey
This article surveys seven directions of consensus theories: Arrowian results, federation consensus rules, metric consensus rules, tournament solutions, restricted domains, abstract consensus theories, algorithmic and complexity issues. This survey is oriented in the sense that it is mainly – but not exclusively – concentrated on the most significant results obtained, sometimes with other searchers, by a team of French searchers who are or were full or associate members of the Centre d'Analyse et de Mathématique Sociale (CAMS).Consensus theories ; Arrowian results ; aggregation rules ; metric consensus rules ; median ; tournament solutions ; restricted domains ; lower valuations ; median semilattice ; complexity
An Ordinal Banzhaf Index for Social Ranking
International audienceWe 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
Consensus theories: an oriented survey
URL des Documents de travail : http://ces.univ-paris1.fr/cesdp/cesdp2010.htmlDocuments de travail du Centre d'Economie de la Sorbonne 2010.57 - ISSN : 1955-611XThis article surveys seven directions of consensus theories: Arrowian results, federation consensus rules, metric consensus rules, tournament solutions, restricted domains, abstract consensus theories, algorithmic and complexity issues. This survey is oriented in the sense that it is mainly – but not exclusively – concentrated on the most significant results obtained, sometimes with other searchers, by a team of French searchers who are or were full or associate members of the Centre d'Analyse et de Mathématique Sociale (CAMS).Cet article présente une vue d'ensemble de sept directions de recherche en théorie du consensus : résultats arrowiens, règles d'agrégation définies au moyen de fédérations, règles définies au moyen de distances, solutions de tournoi, domaines restreints, théories abstraites du consensus, questions de complexité et d'algorithmique. Ce panorama est orienté dans la mesure où il présente principalement – mais non exclusivement – les travaux les plus significatifs obtenus – quelquefois avec d'autres chercheurs – par une équipe de chercheurs français qui sont – ou ont été – membres pléniers ou associés du Centre d'Analyse et de Mathématique Sociale (CAMS)
Three Limitations of Algorithmic Reason: Steering the Human Mind in the Twenty First Century
Artificial Intelligence has pervaded contemporary societies in almost every way as an externalized, fragmented, and optimized form of rationality. I call this externalized mode of thought “algorithmic rationality” and to the ideology favoring it, “algorithmic reason”. Although algorithmic reason original goal was to facilitate the arising of a highly participative and global Culture, fitting all citizens in a dynamic democratic society, History has it that AI technology would be ceased by consumer logic and computational propaganda. I discuss the economical, epistemological, and political implementation of algorithmic reason, introducing three cases. I argue that such implementation comprises a cybernetic loop, involving a centralized AI and its instrumentalized users. Commenting upon the ubiquity of such loop, I introduce three limitations of algorithmic reason. The first two are of a computational nature. The third owes its presence to a cybernetic
loop, producing a steering effect on the human mind and promoting a cultural flattening effect. This, I conclude, may result in the impoverish of creativity, critical thought, and intellectual curiosity.info:eu-repo/semantics/publishedVersio
Multiwinner Analogues of Plurality Rule: Axiomatic and Algorithmic Perspectives
We characterize the class of committee scoring rules that satisfy the
fixed-majority criterion. In some sense, the committee scoring rules in this
class are multiwinner analogues of the single-winner Plurality rule, which is
uniquely characterized as the only single-winner scoring rule that satisfies
the simple majority criterion. We define top--counting committee scoring
rules and show that the fixed majority consistent rules are a subclass of the
top--counting rules. We give necessary and sufficient conditions for a
top--counting rule to satisfy the fixed-majority criterion. We find that,
for most of the rules in our new class, the complexity of winner determination
is high (that is, the problem of computing the winners is NP-hard), but we also
show examples of rules with polynomial-time winner determination procedures.
For some of the computationally hard rules, we provide either exact FPT
algorithms or approximate polynomial-time algorithms
Multi-Winner Voting with Approval Preferences
Approval-based committee (ABC) rules are voting rules that output a
fixed-size subset of candidates, a so-called committee. ABC rules select
committees based on dichotomous preferences, i.e., a voter either approves or
disapproves a candidate. This simple type of preferences makes ABC rules widely
suitable for practical use. In this book, we summarize the current
understanding of ABC rules from the viewpoint of computational social choice.
The main focus is on axiomatic analysis, algorithmic results, and relevant
applications.Comment: This is a draft of the upcoming book "Multi-Winner Voting with
Approval Preferences
Ordinal Social ranking: simulation for CP-majority rule
We study the problem of how to find a social ranking overindividuals given a ranking over coalitions formed by them, or in otherwords, how to rank individuals based on their ability to influence thestrength of a group containing them. We are interested in the use ofceteris paribus majority principle for social ranking and extend theresults of two previous articles ([4, 3]). We analyse the behavior ofthe CP-majority rule with respect to Condorcet cycles and propose alinear programming model for the learning its approximation
Multi-Winner Voting with Approval Preferences
From fundamental concepts and results to recent advances in computational social choice, this open access book provides a thorough and in-depth look at multi-winner voting based on approval preferences. The main focus is on axiomatic analysis, algorithmic results and several applications that are relevant in artificial intelligence, computer science and elections of any kind. What is the best way to select a set of candidates for a shortlist, for an executive committee, or for product recommendations? Multi-winner voting is the process of selecting a fixed-size set of candidates based on the preferences expressed by the voters. A wide variety of decision processes in settings ranging from politics (parliamentary elections) to the design of modern computer applications (collaborative filtering, dynamic Q&A platforms, diversity in search results, etc.) share the problem of identifying a representative subset of alternatives. The study of multi-winner voting provides the principled analysis of this task. Approval-based committee voting rules (in short: ABC rules) are multi-winner voting rules particularly suitable for practical use. Their usability is founded on the straightforward form in which the voters can express preferences: voters simply have to differentiate between approved and disapproved candidates. Proposals for ABC rules are numerous, some dating back to the late 19th century while others have been introduced only very recently. This book explains and discusses these rules, highlighting their individual strengths and weaknesses. With the help of this book, the reader will be able to choose a suitable ABC voting rule in a principled fashion, participate in, and be up to date with the ongoing research on this topic
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