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Record Nr. |
UNINA9911018744803321 |
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Autore |
Fuentes Miguel |
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Titolo |
Complexity, Emergence and the Evolution of Scientific Theories: Towards a Predictive Epistemology / / by Miguel Fuentes |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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9783031999949 |
9783031999932 |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (112 pages) |
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Collana |
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SpringerBriefs in Philosophy, , 2211-4556 |
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Disciplina |
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Soggetti |
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Science - Philosophy |
Physics - Philosophy |
Knowledge, Theory of |
Philosophy of Science |
Philosophical Foundations of Physics and Astronomy |
Epistemology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- 1 The Concept of Emergence -- 2 Complexity Measures -- 3 Complexity and Emergence -- 4 Parametric Complexity and the Evolution of Scientific Theories -- 5 Conclusions. |
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Sommario/riassunto |
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This book offers a unified view of emergence and complexity. It also looks at theory-change as the evolution of the complexity of theories. The author makes use of concrete historical cases analyzed in the tradition of the philosophy of science to test the theses of this work. The first chapter deals with the historical background on emergence. It discusses several contemporary works on the subject, their different points of view, and their contributions to the present investigation. Next, the author details what is now known as complexity science. He covers methodologies of this branch of knowledge, taking into account the amount of information used to describe the system under study. After this foundation, coverage offers a novel quantitative definition of an emergent property. This is based on another notion introduced in this work: the parametric-model complexity. The author discusses several concepts that involve the importance of small variations of |
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