
TL;DR
This paper advocates for rethinking scientific inquiry amid reproducibility crises by introducing G-complexity, aiming to move beyond traditional deterministic methods towards more holistic approaches.
Contribution
It proposes the concept of G-complexity to distinguish between decidable and non-decidable knowledge domains, suggesting a new paradigm for scientific methods.
Findings
Highlights the reproducibility crisis in experiments.
Introduces G-complexity as a framework for understanding knowledge domains.
Calls for a 'second Cartesian revolution' in scientific methodology.
Abstract
The crisis in the reproducibility of experiments invites a re-evaluation of methods of inquiry and validation procedures. The text challenges current assumptions of knowledge acquisition and introduces G-complexity for defining decidable vs. non-decidable knowledge domains. A "second Cartesian revolution" should result in scientific methods that transcend determinism and reductionism.
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Cognitive Science and Mapping · Statistical Mechanics and Entropy
