90,126 research outputs found

    What majority decisions are possible with possible abstaining

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    Suppose we are given a family of choice functions on pairs from a given finite set. The set is considered as a set of alternatives (say candidates for an office) and the functions as potential "voters". The question is, what choice functions agree, on every pair, with the majority of some finite subfamily of the voters? For the problem as stated, a complete characterization was given in \citet{shelah2009mdp}, but here we allow each voter to abstain. There are four cases.Comment: 23 page

    Consensus Strategies for Signed Profiles on Graphs

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    The median problem is a classical problem in Location Theory: one searches for a location that minimizes the average distance to the sites of the clients. This is for desired facilities as a distribution center for a set of warehouses. More recently, for obnoxious facilities, the antimedian was studied. Here one maximizes the average distance to the clients. In this paper the mixed case is studied. Clients are represented by a profile, which is a sequence of vertices with repetitions allowed. In a signed profile each element is provided with a sign from {+,-}. Thus one can take into account whether the client prefers the facility (with a + sign) or rejects it (with a - sign). The graphs for which all median sets, or all antimedian sets, are connected are characterized. Various consensus strategies for signed profiles are studied, amongst which Majority, Plurality and Scarcity. Hypercubes are the only graphs on which Majority produces the median set for all signed profiles. Finally, the antimedian sets are found by the Scarcity Strategy on e.g. Hamming graphs, Johnson graphs and halfcubes.median;consensus function;median graph;majority rule;plurality strategy;Graph theory;Hamming graph;Johnson graph;halfcube;scarcity strategy;Discrete location and assignment;Distance in graphs

    Graphical potential games

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    We study the class of potential games that are also graphical games with respect to a given graph GG of connections between the players. We show that, up to strategic equivalence, this class of games can be identified with the set of Markov random fields on GG. From this characterization, and from the Hammersley-Clifford theorem, it follows that the potentials of such games can be decomposed to local potentials. We use this decomposition to strongly bound the number of strategy changes of a single player along a better response path. This result extends to generalized graphical potential games, which are played on infinite graphs.Comment: Accepted to the Journal of Economic Theor

    Sharp Thresholds for Monotone Non Boolean Functions and Social Choice Theory

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    A key fact in the theory of Boolean functions f:{0,1}n→{0,1}f : \{0,1\}^n \to \{0,1\} is that they often undergo sharp thresholds. For example: if the function f:{0,1}n→{0,1}f : \{0,1\}^n \to \{0,1\} is monotone and symmetric under a transitive action with \E_p[f] = \eps and \E_q[f] = 1-\eps then q−p→0q-p \to 0 as n→∞n \to \infty. Here \E_p denotes the product probability measure on {0,1}n\{0,1\}^n where each coordinate takes the value 11 independently with probability pp. The fact that symmetric functions undergo sharp thresholds is important in the study of random graphs and constraint satisfaction problems as well as in social choice.In this paper we prove sharp thresholds for monotone functions taking values in an arbitrary finite sets. We also provide examples of applications of the results to social choice and to random graph problems. Among the applications is an analog for Condorcet's jury theorem and an indeterminacy result for a large class of social choice functions
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