4 papers
Learning Incentive Structures for Cooperative Resilience in Multi-Agent Systems under Social Dilemmas
Manuela Chacon-Chamorro, Luis Felipe Giraldo, Nicanor Quijano
Multi-agent social dilemmas, such as the tragedy of the commons, capture settings where individual incentives conflict with collective well-being, making these systems highly vulne…
Evaluating Cooperative Resilience in Multiagent Systems: A Comparison Between Humans and LLMs
Manuela Chacon-Chamorro, Juan Sebastián Pinzón, Rubén Manrique +2
This paper presents a comparative analysis of cooperative resilience in multi-agent systems, defined as the ability to anticipate, resist, recover from, and transform to disruptive…
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Diaz +83
Large Language Model (LLM) agents have demonstrated impressive capabilities for social interaction and are increasingly being deployed in situations where they might engage with bo…
Cooperative Resilience in Artificial Intelligence Multiagent Systems
Manuela Chacon-Chamorro, Luis Felipe Giraldo, Nicanor Quijano +8
Resilience refers to the ability of systems to withstand, adapt to, and recover from disruptive events. While studies on resilience have attracted significant attention across vari…