Trust Game

The trust game, a canonical model in behavioral economics, investigates the dynamics of cooperation and reciprocity in social interactions. Current research focuses on using computational models, such as deep reinforcement learning and large language models, to simulate and analyze human trust behavior, exploring how factors like resource allocation mechanisms, network structures, and institutional incentives influence trust levels. These studies aim to understand the emergence of trust, both in human-human and human-AI interactions, with implications for designing more effective mechanisms to promote cooperation in various social and economic contexts. The findings contribute to a deeper understanding of human social behavior and inform the development of trustworthy AI systems.