國立高雄大學圖資館 |

Language: English

Back

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Complexity, emergence and the evolution of scientific theoriesby Miguel Fuentes.
Reminder of title:	towards a predictive epistemology /
Author:	Fuentes, Miguel.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	x, 83 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	SciencePhilosophy.
Online resource:	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 /
LDR:02572nmm a2200337 a 4500 001 686562
003 DE-He213
005 20250806172141.0
006 m d
007 cr nn 008maaau
008 260213s2025 sz s 0 eng d
020 $a 9783031999949$q(electronic bk.)
020 $a 9783031999932$q(paper)
024 7 $a 10.1007/978-3-031-99994-9 $2 doi
035 $a 978-3-031-99994-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q175
072 7 $a PDA $2 bicssc
072 7 $a SCI075000 $2 bisacsh
072 7 $a PDA $2 thema
082 0 4 $a 501 $2 23
090 $a Q175 $b .F954 2025
100 1 $a Fuentes, Miguel. $3 1000896
245 1 0 $a Complexity, emergence and the evolution of scientific theories $h [electronic resource] : $b towards a predictive epistemology / $c by Miguel Fuentes.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a x, 83 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in philosophy, $x 2211-4556
505 0 $a Introduction -- 1 The Concept of Emergence -- 2 Complexity Measures -- 3 Complexity and Emergence -- 4 Parametric Complexity and the Evolution of Scientific Theories -- 5 Conclusions.
520 $a 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.
650 0 $a Science $x Philosophy. $3 179415
650 0 $a Complexity (Philosophy) $3 190997
650 1 4 $a Philosophy of Science. $3 277156
650 2 4 $a Philosophical Foundations of Physics and Astronomy. $3 913461
650 2 4 $a Epistemology. $3 275100
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in philosophy. $3 560618
856 4 0 $u https://doi.org/10.1007/978-3-031-99994-9
950 $a Religion and Philosophy (SpringerNature-41175)