Advanced Evolutionary Game Theory
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C2: Dynamical Systems".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 38
Special Issue Editors
Interests: evolutionary dynamics; opinion dynamics; epidemic dynamics
Interests: evolution of cooperation; evolutionary game theory; network science; multiagent learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cooperation is essential for achieving collective well-being and efficiency in natural and human societies. Building on individual selfishness, evolutionary game theory has made significant progress over the past decades, yielding profound insights into the ways in which we can overcome social dilemmas, particularly in spatially structured populations. In recent years, a variety of new tools have revitalized the field of evolutionary game theory, driven by advancements in computer power and breakthroughs in mathematical theories. Based on intensive computational resources, Monte Carlo simulations have unveiled numerous mechanisms that promote cooperation in spatial evolutionary game models. Utilizing the latest mathematical frameworks, evolutionary graph theory has enabled precise calculations of cooperation conditions on arbitrary real-world network structures. The development of artificial intelligence has inspired novel approaches to evolutionary game theory, such as Q-learning and online experiments using large language models. These developments mark the beginning of a new chapter for advanced evolutionary game theory.
This Special Issue aims to promote these new tools and perspectives, facilitating their communications and integration in evolutionary game dynamics. We encourage contributions from a range of fields, such as physics, mathematics, biology, artificial intelligence, computer science, engineering, economics, and management science.
Dr. Chaoqian Wang
Dr. Qi Su
Guest Editors
Manuscript Submission Information
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Keywords
- evolutionary game theory
- evolutionary dynamics
- social dilemmas
- social evolution
- network science
- agent-based simulation
- replicator dynamics
- evolutionary graph theory
- artificial intelligence
- large language models
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