Why Should Natural Principles Be Simple
TL;DR: In this paper, the authors propose a methodological anti-unitary approach to explain the epistemological role of the human mind in building the real world, using a rewording of the medieval concept of the Multiple arising from (and generated by) the One.
Abstract: One of the criteria to a strong principle in natural sciences is simplicity. The conventional view holds that the world is provided with natural laws that must be simple. This common-sense approach is a modern rewording of the medieval philosophical/theological concept of the Multiple arising from (and generated by) the One. Humans need to pursue unifying frameworks, classificatory criteria and theories of everything. Still, the fact that our cognitive abilities tend towards simplification and groupings does not necessarily entail that this is the way the world works. Here we ask: what if singularity does not pave the way to multiplicity? How will we be sure if the Ockham's razor holds in real life? We will show in the sequel that the propensity to reduce to simplicity the relationships among the events leads to misleading interpretations of scientific issues. We are not going to take a full sceptic turn: we will engage in active outreach, suggesting examples from biology and physics to demonstrate how a novel methodological antiunitary approach might help to improve our scientific attitude towards world affairs. We will provide examples from aggregation of SARS-Cov-2 particles, unclassified extinct creatures, pathological brain stiffness. Further, we will describe how antiunitary strategies, plagiarising medieval concepts from William od Ockham and Gregory of Rimini, help to explain novel relational approaches to quantum mechanics and the epistemological role of our mind in building the real world.
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01 Jan 1973
TL;DR: In this paper, it is shown that the classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion.
Abstract: In this paper it is shown that the classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion. This observation shows an extension of the principle to provide answers to many practical problems of statistical model fitting.
15,424 citations
TL;DR: In this paper, a translation of the poem "The Pleasures of Philosophy" is presented, with a discussion of concrete rules and abstract machines in the context of art and philosophy.
Abstract: Translator's Foreword: Pleasures of Philosophy Notes on the Translation and Acknowledgements Author's Note 1. Introduction: Rhizome 2. 1914: One or Several Wolves? 3. 10,000 BC: The Geology of Morals (Who Does the Earth Think It Is?) 4. November 20th, 1923: Postulates of Linguistics 5. 587BC-AD70: On Several Regimes of Signs 6. November 28th, 1947: How Do You Make Yourself a Body Without Organs? 7. Year Zero: Faciality 8. 1874: Three Novellas, or "What Happened?" 9. 1933: Micropolitics and Segmentarity 10. 1730: Becoming Intense, Becoming-Animal, Becoming Imperceptible... 11. 1837: Of the Refrain 12. 1227: Treatise on Nomadology - The War Machine 13. 7000BC: Apparatus of Capture 14. 1440: The Smooth and the Striated 15. Conclusion: Concrete Rules and Abstract Machines Notes Bibliography List of Illustrations Index
14,735 citations
TL;DR: This Review looks at some key brain theories in the biological and physical sciences from the free-energy perspective, suggesting that several global brain theories might be unified within a free- energy framework.
Abstract: A free-energy principle has been proposed recently that accounts for action, perception and learning. This Review looks at some key brain theories in the biological (for example, neural Darwinism) and physical (for example, information theory and optimal control theory) sciences from the free-energy perspective. Crucially, one key theme runs through each of these theories — optimization. Furthermore, if we look closely at what is optimized, the same quantity keeps emerging, namely value (expected reward, expected utility) or its complement, surprise (prediction error, expected cost). This is the quantity that is optimized under the free-energy principle, which suggests that several global brain theories might be unified within a free-energy framework.
4,866 citations
TL;DR: Verification and validation of numerical models of natural systems is impossible because natural systems are never closed and because model results are always nonunique.
Abstract: Verification and validation of numerical models of natural systems is impossible. This is because natural systems are never closed and because model results are always nonunique. Models can be confirmed by the demonstration of agreement between observation and prediction, but confirmation is inherently partial. Complete confirmation is logically precluded by the fallacy of affirming the consequent and by incomplete access to natural phenomena. Models can only be evaluated in relative terms, and their predictive value is always open to question. The primary value of models is heuristic.
2,909 citations
TL;DR: This review will help understand the biology and potential risk of CoVs that exist in richness in wildlife such as bats and describe diseases caused by different CoVs in humans and animals.
Abstract: The recent emergence of a novel coronavirus (2019-nCoV), which is causing an outbreak of unusual viral pneumonia in patients in Wuhan, a central city in China, is another warning of the risk of CoVs posed to public health. In this minireview, we provide a brief introduction of the general features of CoVs and describe diseases caused by different CoVs in humans and animals. This review will help understand the biology and potential risk of CoVs that exist in richness in wildlife such as bats.
2,480 citations