Social Dilemma

Social dilemmas explore situations where individual self-interest conflicts with collective well-being, hindering cooperation despite mutual benefits. Current research focuses on using reinforcement learning, particularly deep reinforcement learning, and large language models to design agents and mechanisms that promote cooperation in various game-theoretic settings, including the Prisoner's Dilemma and public goods games. These studies investigate how factors like reward structures, communication, and agent transparency influence cooperation levels, aiming to improve human-machine interaction and develop more socially beneficial AI systems. The findings have implications for designing AI agents that effectively collaborate with humans and contribute to solving real-world problems involving shared resources and collective action.