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Complexity, emergence and the evolution of scientific theoriestowards a predictive epistemology /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Complexity, emergence and the evolution of scientific theoriesby Miguel Fuentes.
其他題名:	towards a predictive epistemology /
作者:	Fuentes, Miguel.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	x, 83 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	SciencePhilosophy.
電子資源:	https://doi.org/10.1007/978-3-031-99994-9
ISBN:	9783031999949$q(electronic bk.)

Complexity, emergence and the evolution of scientific theoriestowards a predictive epistemology /
Fuentes, Miguel.

Complexity, emergence and the evolution of scientific theoriestowards a predictive epistemology /[electronic resource] :by Miguel Fuentes. - Cham :Springer Nature Switzerland :2025. - x, 83 p. :ill., digital ;24 cm. - SpringerBriefs in philosophy,2211-4556. - SpringerBriefs in philosophy..

Introduction -- 1 The Concept of Emergence -- 2 Complexity Measures -- 3 Complexity and Emergence -- 4 Parametric Complexity and the Evolution of Scientific Theories -- 5 Conclusions.

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 parameters that regulate the system and the universal characteristics that these small variations generate. He then studies how this new notion can shed light on some aspects of scientific practice as the criteria for the choice between rival theories and the relationship between the emergence of new technologies and the risk in the appearance of anomalies.

ISBN: 9783031999949$q(electronic bk.)

Standard No.: 10.1007/978-3-031-99994-9doiSubjects--Topical Terms:

179415
Science
--Philosophy.

LC Class. No.: Q175

Dewey Class. No.: 501

Complexity, emergence and the evolution of scientific theoriestowards a predictive epistemology /
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