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Is there a philosophical take on how to come up with metadimensions that characterize complex systems?

User Jessiica
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Final answer:

The philosophical approach to characterizing complex systems through metadimensions involves understanding overarching properties like scale and efficiency within thermodynamic limits, which is key for long-term sustainability on a finite planet. Insights from complexity can help comprehend phenomena in systems like crystal growth, alloys, and magnetic domains. Despite limitations, systems modeling enhances our understanding of complex biophysical and social systems.

Step-by-step explanation:

The philosophical approach to developing metadimensions for characterizing complex systems often draws from systems theory and complexity science. Metadimensions, in this context, refer to the overarching properties or constructs that describe how complex systems behave, interact, and evolve. These include concepts such as scale, efficiency, and thermodynamic limits, which are crucial in understanding physical systems ranging from ecological sustainability to the organization of atoms and molecules in statistical mechanics.

By reflecting on the boundaries of human endeavors in domains such as energy, environment, and economics, and contemplating the scale and efficiency within thermodynamic limits, it is possible to better grasp the potential for long-term viability on a finite planet. Insights from complexity can help tackle non-equilibrium phenomena like heat transfer and phase changes, or spontaneous self-organization in crystal growth, alloys, and magnetic domains. While the full understanding of complex biophysical and social systems may always be beyond our reach, efforts to model these systems can contribute to our overall comprehension.

Considering the magnitude of human activities in a planetary context, it is more important than ever to consider these metadimensions as our ambitions are increasingly clashing with natural limits. Physical systems such as planetary bodies and solar systems demonstrate the application of micro and macro perspectives in complexity theory, which can serve as models to understand larger, more intricate structures.

User Dythe
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