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Keywords: computational complexity (7)

> Dumitru Baleanu > Fractals, Fractional, DEs and AI Applications > Miscellaneous Keywords > Complexity > Yeliz Karaca > Mathematics and Computing Models > Computational (Algorithmic) Complexity

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How can theory of complexity provide benefits across diverse complex systems on which our lives’ quality depends? How can theory of evidence be evaluated with the empirical defense of scientific realism contingent upon probability?

How can the relationship between complexity thinking and applicability be reconsidered along with evolution and adaptation? “Doubt is the key to knowledge.”, so how do the science’s philosophical origins serve progresses in modern era?

How does scientific thinking reveal itself through different epistemological perspectives which shape scientific thinking and validate scientific knowledge?

How does self-organization contribute to the behaviors and patterns of complex systems? Considering complex problems’ characteristics (i.e. nonlinearity, causality, transiency), what is the position of applied complexity from this lens?

In what ways has AI manifested evolutionary processes across its three historical booms? How do feedback loops impact complex systems?

How does systemic mode of thinking toward a unified science framework serve dynamical systems’ understanding and related advances?

What are the key characteristics of resilience in complex systems? What are the systems sciences’ foundational tenets? How do they relate to social and behavioral sciences’ mathematical means?

How are coping and chaos interconnected in natural world? What roles do organization and mission of taxonomy play? What kind of interplay and scopes are at stake regarding the capabilities of predictability, estimation, interpretation?

Complexity with perplexity, sophistication in simplicity.

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