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Reconciling Different Sciences Through Complexity Theories
Complexity science provides a common language and set of tools that can be applied to a wide range of phenomena, regardless of scale, such as neural networks and the Internet. By focusing on common features like emergent, nonlinearity, self-organization, and universality, researchers from different fields like ecological psychology and neuroscience can find common ground for reconciliation. This involves adapting terminology and concepts to bridge the gap between different scales of study, encouraging a collaborative and evolving process where each discipline is willing to adjust and find common ground.