Enhancing social cohesion with cooperative bots in societies of greedy, mobile individuals
arXiv:2403.00311 · doi:10.1093/pnasnexus/pgae223
Abstract
Addressing collective issues in social development requires a high level of social cohesion, characterized by cooperation and close social connections. However, social cohesion is challenged by selfish, greedy individuals. With the advancement of artificial intelligence (AI), the dynamics of human-machine hybrid interactions introduce new complexities in fostering social cohesion. This study explores the impact of simple bots on social cohesion from the perspective of human-machine hybrid populations within network. By investigating collective self-organizing movement during migration, results indicate that cooperative bots can promote cooperation, facilitate individual aggregation, and thereby enhance social cohesion. The random exploration movement of bots can break the frozen state of greedy population, help to separate defectors in cooperative clusters, and promote the establishment of cooperative clusters. However, the presence of defective bots can weaken social cohesion, underscoring the importance of carefully designing bot behavior. Our research reveals the potential of bots in guiding social self-organization and provides insights for enhancing social cohesion in the era of human-machine interaction within social networks.
References in corpus (8)
- Statistical physics of social dynamics
- Mathematical foundations of moral preferences
- Does mobility decrease cooperation?
- Evolution of cooperation driven by zealots
- Small Bots, Big Impact: Solving the Conundrum of Cooperation in Optional Prisoner's Dilemma Game through Simple Strategies
- How Committed Individuals Shape Social Dynamics: A Survey on Coordination Games and Social Dilemma Games
- Facilitating Cooperation in Human-Agent Hybrid Populations through Autonomous Agents
- Impact of Committed Minorities: Unveiling Critical Mass of Cooperation in the Iterated Prisoner's Dilemma Game