Authors

We invite original research contributions that examine these principles and their role in shaping complex adaptive systems. We are particularly interested in work that addresses:

• Adaptive learning and decision making: Individual and collective learning under dynamic and uncertain conditions, including social learning and distributed decision-making

• Emergence and self-organization: Mechanisms in sociotechnical and engineering systems that give rise to global behavior from the interactions of its parts (micro-macro patterns of behavior) without centralized control  

• Agent-based simulation and modeling: Approaches beyond LLM-driven agent frameworks and traditional multi-agent systems, including hybrid modeling techniques

• Sociotechnical Integration: Integration of adaptive systems within sociotechnical contexts including human, organizational, and societal structures

• Methodological advances: Novel frameworks for that converge knowledge, analysis, modeling and simulation across spatial and temporal scales to support decision making, analysis of emergent phenomena and adaptive dynamics

• Applications: Real world system domain studies that explore these principles such as autonomous systems, smart city infrastructure and disaster management.