About this Research Topic
We are excited to announce a Research Topic on “Game Theory and Complex Systems,” which explores the fascinating intersection of these two fields. This issue aims to bring together scholars from various disciplines, including physicists, computer scientists, behavioral economists, and social scientists, who employ game-theoretical techniques in their research. Game theory is a versatile tool, with applications in a multitude of disciplines, including statistical physics, computer science, biology, economics, finance, climate change negotiations, and sociology. The interdisciplinary nature of complex systems and game theory presents a unique opportunity for researchers to contribute diverse perspectives and methodologies.
The primary goal of this Research Topic is to deepen our understanding of human behavior through the lens of game theory and complex systems. We encourage contributors to investigate the applications of these frameworks to human behavior, particularly focusing on empirical evidence and behavioral experiments. By examining decision-making dynamics, cooperation, and strategic interactions, we aim to enhance our ability to model and predict human behavior and provide valuable insights into real-world phenomena. Contributions should address how game theory can shed light on intricate social, economic, and biological dynamics, thereby advancing theoretical and applied knowledge in these fields.
We invite researchers, practitioners, and scholars to submit original research articles, reviews, or theoretical papers for this Research Topic. Areas of interest include but are not limited to: evolutionary game theory in complex systems, agent-based modelling and simulations of strategic interactions, network effects on game-theoretical dynamics, applications in social networks, and behavioral experiments in game theory. Additionally, we welcome studies on game theory’s role in economic systems, decision-making in biological environments, multi-agent systems, and its application to climate change negotiations. All submissions should align with the interdisciplinary focus of the issue, contributing to the overarching understanding of game theory and complex systems.
The primary goal of this Research Topic is to deepen our understanding of human behavior through the lens of game theory and complex systems. We encourage contributors to investigate the applications of these frameworks to human behavior, particularly focusing on empirical evidence and behavioral experiments. By examining decision-making dynamics, cooperation, and strategic interactions, we aim to enhance our ability to model and predict human behavior and provide valuable insights into real-world phenomena. Contributions should address how game theory can shed light on intricate social, economic, and biological dynamics, thereby advancing theoretical and applied knowledge in these fields.
We invite researchers, practitioners, and scholars to submit original research articles, reviews, or theoretical papers for this Research Topic. Areas of interest include but are not limited to: evolutionary game theory in complex systems, agent-based modelling and simulations of strategic interactions, network effects on game-theoretical dynamics, applications in social networks, and behavioral experiments in game theory. Additionally, we welcome studies on game theory’s role in economic systems, decision-making in biological environments, multi-agent systems, and its application to climate change negotiations. All submissions should align with the interdisciplinary focus of the issue, contributing to the overarching understanding of game theory and complex systems.
Keywords: Game Theory, Complex Systems, Human Behavior, Multi-agent systems, Agent-based Modelling, Complex Networks, Behavioral Experiments
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
