The presence of big data, online systems, collaborations of remote agents, distributed knowledge, social media interaction, and generally, digital globalization, changes the way …
We consider a set of voters making a collective decision via simultaneous vote on two binary issues. Voters' preferences are captured by payoffs assigned to combinations of outcomes …
Iterative voting allows a group of agents to take a collective decision in a dynamic fashion: a series of plurality elections are staged, making the relative scores of the candidates public …
U Grandi - The Future of Economic Design: The Continuing …, 2019 - Springer
Direct democracy is often proposed as a possible solution to the 21st-century problems of democracy. However, this suggestion clashes with the size and complexity of 21st-century …
U Grandi - 31st International Joint Conference on Artificial …, 2022 - hal.science
Collective decisions among human and artificial agents can be enhanced by allowing for more interaction among decision-makers and by letting them express more information …
S Majumdar, E Pournaras - … on Machine Learning, Optimization, and Data …, 2023 - Springer
The legitimacy of bottom-up democratic processes for the distribution of public funds by policy-makers is challenging and complex. Participatory budgeting is such a process, where …
We consider synchronized iterative voting in the Approval Voting system. We give examples with a Condorcet winner where voters apply simple, sincere, consistent strategies but where …
In this paper we tackle the challenge of Multi Agents Reinforcement Learning (MARL) in a situation of collective social choice. We evaluate the learning performance of multiple …
In the last decades, intelligent transport systems have gained importance. We consider a subarea of cooperative traffic management, namely collective decision-making in groups of …