Learning to manipulate under limited information

WH Holliday, A Kristoffersen, E Pacuit - arXiv preprint arXiv:2401.16412, 2024 - arxiv.org
By classic results in social choice theory, any reasonable preferential voting method
sometimes gives individuals an incentive to report an insincere preference. The extent to …

Computational Social Choice and challenges оf voting in multi-agent systems

ZA Dodevska - Tehnika, 2019 - scindeks.ceon.rs
The presence of big data, online systems, collaborations of remote agents, distributed
knowledge, social media interaction, and generally, digital globalization, changes the way …

Voting behavior in one-shot and iterative multiple referenda

U Grandi, J Lang, AI Ozkes, S Airiau - Social Choice and Welfare, 2022 - Springer
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 …

Itero: An Online Iterative Voting Application (demo track)

J Boudou, R Colley, U Grandi - 31st International Joint Conference on …, 2022 - hal.science
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 …

Agent-mediated social choice

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 …

Interaction and Expressivity in Collective Decision-Making

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 …

Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning

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 …

[PDF][PDF] Bad cycles and chaos in iterative approval voting

BR Kloeckner - 2020 - hal.science
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 …

Multi-Agents Reinforcement Learning In Iterative Voting

L Liekah, U Grandi - 2019 - hal.science
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 …

[PDF][PDF] Towards cooperative urban traffic management: Investigating voting for travel groups

S Dennisen - 2021 - scholar.archive.org
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 …