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Learning Collective Action under Risk Diversity
In this paper we investigate the consequences of risk diversity in groups of agents learning to play CRDs.
Evolution of collective fairness in complex networks through degree-based role assignment
We focus on network-based role assignment and show that preferentially attributing the role of Proposer to low-connected nodes increases the fairness levels in a population.
Fairness
Physics and Society
Computer Science and Game Theory
Local Wealth Redistribution Promotes Cooperation in Multiagent Systems
Designing mechanisms that leverage cooperation between agents has been a long-lasting goal in Multiagent Systems.
