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Paper traces probability's evolution as a mirror of reason

A new paper on arXiv explores the historical development of probability theory, viewing it as a reflection of evolving human reason. The article traces probability's journey from early game theory to modern Bayesian inference, highlighting its role in quantifying uncertainty. It also discusses the limitations of probability in handling vague concepts and introduces fuzzy logic and deep learning as complementary approaches to rationality, emphasizing the need for explicit articulation of uncertainty, vagueness, and inference in scientific understanding. AI

IMPACT Provides a historical and epistemological framework for understanding the relationship between probability, fuzzy logic, and deep learning in scientific reasoning.

RANK_REASON The cluster contains a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Paper traces probability's evolution as a mirror of reason

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The cluster contains a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jean-Louis Le Mou\"el, Vincent Courtillot, Dominique Gibert, Vladimir Kossobokov, Jean-Baptiste Boul\'e, Pierpaolo Zuddas, Fernando Lopes, Pa\"ikan Marccagi, Alexis Maineult ·

    On the evolution of the concept of probability as a mirror of the evolution of reason

    arXiv:2606.00102v1 Announce Type: new Abstract: Over the centuries, probability theory has grown from the calculus of games of chance into a central framework for reasoning under uncertainty. This article interprets that evolution not merely as a mathematical history, but as a tr…