In cooperative multiagent systems an alternative that maximizes the social welfare — the sum of utilities — can only be selected if each agent reports its full utility function. This may be infeasible in environments where communication is restricted. Employing a voting rule to choose an alternative greatly reduces the communication burden, but leads to a possible gap between the social welfare of the optimal alternative and the social welfare of the one that is ultimately elected. Procaccia and Rosenschein have introduced the concept of distortion to quantify this gap. In this paper, we present the notion of embeddings into voting rules: functions that receive an agent's utility function and return the agent's vote. We establi...
The first part of this Thesis asks whether we can devise voting rules that allow strategic voters to...
We consider a symmetric information voting model where a group of uninformed voters must collec-tive...
Preference elicitation is a central problem in AI, and has received significant attention in single-a...
AbstractIn cooperative multiagent systems an alternative that maximizes the social welfare—the sum o...
A voting rule decides on a probability distribution over a set of $m$ alternatives, based on ranking...
In utilitarian social choice settings, agents have cardinal utilities over candidates, while for man...
Classical results in social choice theory on the susceptibility of voting rules to strategic manipul...
We focus on the following natural question: is it possible to influence the outcome of a voting proc...
Series Frontiers in Artificial Intelligence and Applications, Volume 285In a voting system, voters m...
In AI, multi-agent decision problems are of central importance, in which independent agents aggregat...
We derive the incentive compatible and ex-ante welfare maximizing (i.e., utilitarian) mechanism for ...
We derive the incentive compatible and ex-ante welfare maximizing (i.e., utilitarian) mechanism for ...
We give necessary conditions for a neutral social choice function to be partially implementable by m...
Can we devise mechanisms that allow voters to express the intensity of their preferences when moneta...
Classical results in social choice theory on the susceptibility of voting rules to strategic manipul...
The first part of this Thesis asks whether we can devise voting rules that allow strategic voters to...
We consider a symmetric information voting model where a group of uninformed voters must collec-tive...
Preference elicitation is a central problem in AI, and has received significant attention in single-a...
AbstractIn cooperative multiagent systems an alternative that maximizes the social welfare—the sum o...
A voting rule decides on a probability distribution over a set of $m$ alternatives, based on ranking...
In utilitarian social choice settings, agents have cardinal utilities over candidates, while for man...
Classical results in social choice theory on the susceptibility of voting rules to strategic manipul...
We focus on the following natural question: is it possible to influence the outcome of a voting proc...
Series Frontiers in Artificial Intelligence and Applications, Volume 285In a voting system, voters m...
In AI, multi-agent decision problems are of central importance, in which independent agents aggregat...
We derive the incentive compatible and ex-ante welfare maximizing (i.e., utilitarian) mechanism for ...
We derive the incentive compatible and ex-ante welfare maximizing (i.e., utilitarian) mechanism for ...
We give necessary conditions for a neutral social choice function to be partially implementable by m...
Can we devise mechanisms that allow voters to express the intensity of their preferences when moneta...
Classical results in social choice theory on the susceptibility of voting rules to strategic manipul...
The first part of this Thesis asks whether we can devise voting rules that allow strategic voters to...
We consider a symmetric information voting model where a group of uninformed voters must collec-tive...
Preference elicitation is a central problem in AI, and has received significant attention in single-a...