Individuals do not typically reason in isolation when confronted with collectivedecision
making, but rather take into consideration the preferences of likeminded individuals and …

The classical house allocation problem involves assigning $ n $ houses (or items) to $ n $
agents according to their preferences. A key criterion in such problems is satisfying some …

We study a rating system in which a set of individuals (eg, the customers of a restaurant)
evaluate a given service (eg, the restaurant), with their aggregated opinion determining the …

We present first results from a new agent-based model (ABM) of a sports-betting exchange
(such as those operated by BetFair, BetDdaq, and SMarkets, among other companies) in …

We investigate how to reconstruct social networks from voting data. In particular, given a
voting model that considers social network structure, we aim to find the network that best …

Abstract The Condorcet Jury Theorem (CJT) is considered one of the cornerstones of the
wisdom of the crowd, ie the idea that large groups of people are better at tracking the truth …

Social choice is the study of collective decision making, where a set of agents must make a
decision over a set of alternatives, according to their preferences. The question relies on …

With the ever increasing ubiquity of social networks in our everyday lives, comes an
increasing urgency for us to understand their impact on human behavior. Social networks …

The main theme of this thesis is to investigate how learning problems can be solved in the
face of limited resources and with limited information to base inferences on. We study …

Within the field of multiagent systems, the area of computational social choice considers the
problems arising when decisions must be made collectively by a group of agents. Usually …