Game theory and complex systems represent two pivotal fields in contemporary scientific research. Game theory, originating within mathematics, provides a structured approach to understanding scenarios involving conflicting interests across various participants. Its importance extends through diverse disciplines such as economics, political psychology, and computer science. Complex systems, noted for their intricate interdependencies, include varied forms such as ecosystems, neural networks, and socioeconomic structures. By weaving game theory into the fabric of complex systems study, researchers can decipher the adaptive strategies of individual components and their evolutionary trajectories. This integration is pivotal for elucidating how strategic interactions across different levels could lead to dynamic behaviors and emergent properties within such systems.

This Research Topic aims to advance our comprehension of how emergent phenomena and complex macroscopic behaviors are born from strategic interactions in various complex systems. The endeavor is challenging, particularly in crafting models that reflect the nuanced realities beyond conventional game theory assumptions of complete rationality and information. These models need to accommodate scenarios with limited information and bounded rationality that more accurately mimic real-world conditions. Further, we seek to explore the role evolutionary dynamics play in shaping strategy adaptation and systemic equilibria against the backdrop of these complex interactions.

To address these ambitions comprehensively, this topic will cover several key themes:

Modeling Complex Systems: Development and analytical evaluation of models that mirror real-world complexity.

Evolutionary Dynamics: Delving into strategy evolution within complex systems and their impacts.

Strategic Interactions: Investigating strategic variations across different scenarios and their outcomes.

Network Influence: Assessing how network structures affect strategic evolutions and interactions.

We invite contributions from various disciplinary angles, including economics, computer science, biology, and social sciences. Desired submissions include original research, comprehensive reviews, innovative methodology articles, and theoretical explorations. We particularly welcome papers employing novel computational techniques or analyzing large-scale datasets, aiming to contribute significant insights into the design and understanding of efficient and equitable systems. Contributions should be detailed regarding their approach and relevance to the overarching research theme, maintaining a rigorous analytical outlook.

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Frontiers in Complex Systems

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