International Conference on Evolutionary Game Theory and Artificial Intelligence 2026

The International Conference on Evolutionary Game Theory and Artificial Intelligence 2026 (EGTAI 2026), held in Hangzhou, China, explores the fertile intersection between evolutionary game theory — a mathematical framework for analyzing strategic interactions among agents in evolving populations — and modern artificial intelligence. As multi-agent AI systems become ubiquitous, the dynamics of cooperation, competition, and equilibrium that evolutionary game theory formalizes are increasingly relevant to understanding AI behavior in markets, social networks, and multi-player environments. Hangzhou, home to Alibaba and a major Chinese AI research hub, provides an ideal setting for this conference, which bridges theoretical foundations with applied machine learning, mechanism design, and multi-agent reinforcement learning.

evolutionary game theory artificial intelligence cognitive neuroscience

EGTAI 2026 invites original research contributions at the intersection of evolutionary game theory and artificial intelligence. Topics of interest include: evolutionary dynamics in multi-agent systems; Nash equilibrium computation and learning; mechanism design and auction theory for AI systems; multi-agent reinforcement learning; cooperative and non-cooperative game theory; evolutionary stability and population dynamics; AI for market design and economics; social dilemmas and cooperation in AI agents; mean-field game theory and large-population AI; evolutionary algorithms and nature-inspired optimization; network games and influence propagation; and applications in autonomous trading, social simulation, and AI ethics. Both theoretical and empirical papers are welcomed.