Artificial Intelligence in Dynamics of Human Cooperation

Dear Colleagues,

The problem of the evolution of cooperation and the emergence of collective behavior, which cuts across diverse disciplines such as Economics, Physics, Biology, Psychology, Sociology, Political, plus Cognitive and Computer Sciences, remains one of the greatest integrative interdisciplinary challenges facing science today. Mathematical and simulation techniques including evolutionary game theory, statistical physics, and agent-based simulations have proven powerful to study this problem. To understand the evolutionary mechanisms that promote and more or less stably maintain collective behavior in various societies, it is important to take into account the intrinsic complexity of individuals partaking therein, namely their cognitive and complex decision-making processes. On the other hand, artificial intelligence (AI) and related technologies have become increasingly prevalent in human life, making decisions that might alter the dynamics of human interactions in many ways. Moreover, there exists a double-edged sword: what cognition affords collective advantageous communities and vice-versa, what cognitive abilities are advantageously selected or enhanced in a collective community of what structure.

This Special Issue aims to provide a forum for the exploration of the potential interplay between AI and the dynamics of human collective behavior such as cooperation, coordination, trust and fairness; in particular, the different ways that the advancement of AI might alter the dynamics of human collective behavior, and vice-versa. Both theoretical modeling and behavioral experiment studies are welcome.

Some potential topics include (but are not limited to): 

• Cooperation in hybrid societies;
• Cooperation with autonomous agents;
• AI-based cooperation engineering;
• Trust and cooperation in human–machine interactions;
• Cognitive mechanisms and cooperation;
• Emergence of the cognitive mechanisms for cooperation;
• Reputation and information processing;
• Cooperation and competition in AI development;
• Incentives design for pro-sociality in human-agent societies;
• AI and social cohesion.

Dr. The Anh Han
Dr. Simon Powers
Prof. Dr. Luís Moniz Pereira
Prof. Dr. Isamu Okada
Guest Editors

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• Evolution of cooperation
• Evolutionary game theory
• Complex system topological influence
• Agent-based simulation
• Cognition, separately or co-mingled
• Statistical physics
• AI modeling
• Multi-agent systems
• Behavior experiments
• Interdisciplinary lessons and bridging