This Research Topic bridges multiple compelling domains. Game theory, an analytical construct within mathematics, provides a schematic for delineating situations marked by divergent interests among participants. Its applications span economics, political science, psychology, and computer science. Complex systems, characterized by a multitude of interdependent elements, encompass diverse entities such as ecosystems, neural networks, climatic patterns, socio-economic structures, and the cosmos. Integrating game theory within the study of complex systems facilitates the elucidation of evolutionary strategy adaptations of constituent units. Evolutionary dynamics further examines the temporal evolution of strategic distributions within populations. The synthesis of these academic spheres fosters an understanding of how strategic interplays among entities precipitate emergent phenomena and intricate macroscopic behaviors. This cross-disciplinary theme promises profound revelations concerning a vast array of systemic constructs.
The goal of this Research Topic is to refine our grasp on the genesis of emergent phenomena and sophisticated macro-level conduct through strategic interactions within complex systems. This quest involves surmounting a triad of challenges.
The first challenge is to devise nuanced models that authentically reflect the multifaceted nature of real-world systems, transcending the traditional game-theoretic assumptions of rationality and perfect information, which may not apply in environments where agents operate with limited insight and bounded rationality.
The second challenge is to dissect the evolutionary dynamics governing these systems, probing into the maturation of strategies, the stability of systemic equilibria, and their correlation with the game’s intricacies and network architecture.
The third challenge is to examine diverse strategic approaches in varied contexts, such as identifying strategies that nurture cooperation in networked public goods games and understanding the influence of network structure on cooperative evolution. Addressing these challenges holds the promise of yielding insights applicable across a spectrum of disciplines, from economics to artificial intelligence, and informing the design of systems that are both more efficient and equitable.
The scope of this Research Topic encompasses several themes:
- Modeling Complex Systems: Development and analysis of models that capture the complexities of real-world systems.
- Evolutionary Dynamics: Investigation of how strategies evolve over time in complex systems.
- Strategic Interactions: Exploration of various strategies in different game settings and their impact on the system’s behavior.
- Network Influence: Examination of how the structure of the network influences the evolution of strategies and system dynamics.
We welcome contributions addressing these themes from various perspectives and disciplines, including mathematics, economics, computer science, biology, and social sciences.
We are interested in original research articles, reviews, methodological articles, and theoretical papers. We also encourage submissions that utilize innovative computational methods or analyze novel large-scale datasets. All submissions should clearly articulate their relevance to the Research Topic and demonstrate a rigorous and thoughtful approach to the issues at hand.
Keywords:
Complex Systems; Game Theory; Evolutionary Dynamics; Evolutionary Strategy Adaptations; Emergent Phenomena of Macroscopic Behaviors
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.
This Research Topic bridges multiple compelling domains. Game theory, an analytical construct within mathematics, provides a schematic for delineating situations marked by divergent interests among participants. Its applications span economics, political science, psychology, and computer science. Complex systems, characterized by a multitude of interdependent elements, encompass diverse entities such as ecosystems, neural networks, climatic patterns, socio-economic structures, and the cosmos. Integrating game theory within the study of complex systems facilitates the elucidation of evolutionary strategy adaptations of constituent units. Evolutionary dynamics further examines the temporal evolution of strategic distributions within populations. The synthesis of these academic spheres fosters an understanding of how strategic interplays among entities precipitate emergent phenomena and intricate macroscopic behaviors. This cross-disciplinary theme promises profound revelations concerning a vast array of systemic constructs.
The goal of this Research Topic is to refine our grasp on the genesis of emergent phenomena and sophisticated macro-level conduct through strategic interactions within complex systems. This quest involves surmounting a triad of challenges.
The first challenge is to devise nuanced models that authentically reflect the multifaceted nature of real-world systems, transcending the traditional game-theoretic assumptions of rationality and perfect information, which may not apply in environments where agents operate with limited insight and bounded rationality.
The second challenge is to dissect the evolutionary dynamics governing these systems, probing into the maturation of strategies, the stability of systemic equilibria, and their correlation with the game’s intricacies and network architecture.
The third challenge is to examine diverse strategic approaches in varied contexts, such as identifying strategies that nurture cooperation in networked public goods games and understanding the influence of network structure on cooperative evolution. Addressing these challenges holds the promise of yielding insights applicable across a spectrum of disciplines, from economics to artificial intelligence, and informing the design of systems that are both more efficient and equitable.
The scope of this Research Topic encompasses several themes:
- Modeling Complex Systems: Development and analysis of models that capture the complexities of real-world systems.
- Evolutionary Dynamics: Investigation of how strategies evolve over time in complex systems.
- Strategic Interactions: Exploration of various strategies in different game settings and their impact on the system’s behavior.
- Network Influence: Examination of how the structure of the network influences the evolution of strategies and system dynamics.
We welcome contributions addressing these themes from various perspectives and disciplines, including mathematics, economics, computer science, biology, and social sciences.
We are interested in original research articles, reviews, methodological articles, and theoretical papers. We also encourage submissions that utilize innovative computational methods or analyze novel large-scale datasets. All submissions should clearly articulate their relevance to the Research Topic and demonstrate a rigorous and thoughtful approach to the issues at hand.
Keywords:
Complex Systems; Game Theory; Evolutionary Dynamics; Evolutionary Strategy Adaptations; Emergent Phenomena of Macroscopic Behaviors
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.