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From Collective Beings to Quasi-Systems 1st ed. 2018 [Kõva köide]

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  • Formaat: Hardback, 386 pages, kõrgus x laius: 235x155 mm, kaal: 950 g, 1 Illustrations, color; 13 Illustrations, black and white; XIX, 386 p. 14 illus., 1 illus. in color., 1 Hardback
  • Sari: Contemporary Systems Thinking
  • Ilmumisaeg: 30-Jan-2018
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 149397579X
  • ISBN-13: 9781493975792
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From Collective Beings to Quasi-Systems 1st ed. 2018Suurem pilt
  • Formaat: Hardback, 386 pages, kõrgus x laius: 235x155 mm, kaal: 950 g, 1 Illustrations, color; 13 Illustrations, black and white; XIX, 386 p. 14 illus., 1 illus. in color., 1 Hardback
  • Sari: Contemporary Systems Thinking
  • Ilmumisaeg: 30-Jan-2018
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 149397579X
  • ISBN-13: 9781493975792
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781493975792.html
Märksõnad:
This book outlines a possible future theoretical perspective for systemics, its conceptual morphology and landscape while the Good-Old-Fashioned-Systemics (GOFS) era is still under way. The change from GOFS to future systemics can be represented, as shown in the book title, by the conceptual change from Collective Beings to Quasi-systems. With the current advancements, problems and approaches occurring in contemporary science, systemics are moving beyond the traditional frameworks used in the past. From Collective Beings to Coherent Quasi-Systems outlines a conceptual morphology and landscape for a new theoretical perspective for systemics introducing the concept of Quasi-systems. Advances in domains such as theoretical physics, philosophy of science, cell biology, neuroscience, experimental economics, network science and many others offer new concepts and technical tools to support the creation of a fully transdisciplinary General Theory of Change. This circumstance requires a deep reformulation of systemics, without forgetting the achievements of established conventions.
The book is divided into two parts. Part I, examines classic systemic issues from new theoretical perspectives and approaches. A new general unified framework is introduced to help deal with topics such as dynamic structural coherence and Quasi-systems. This new theoretical framework is compared and contrasted with the traditional approaches. Part II focuses on the process of translation into social culture of the theoretical principles, models and approaches introduced in Part I. This translation is urgent in post-industrial societies where emergent processes and problems are still dealt with by using the classical or non-systemic knowledge of the industrial phase.

Arvustused

I have read this book with great interest. It motivates speculation on possible contributions that some of its concepts can make to the design of a formal approach to the dynamics of living systems. the book should inspire others to further revisit and develop this specific research approach. (Nicola Bellomo, SIAM Review, Vol. 61 (4), December, 2019)

1 The Background of Good Old-Fashioned Systemics
1(24)
1.1 The Epoch of Good Old-Fashioned Systemics (GOFS)
2(1)
1.2 The Challenge of Multiplicity and Transition
3(2)
1.3 Classical Approaches
5(11)
1.3.1 Denning
5(1)
1.3.2 Completeness
6(1)
1.3.3 Accuracy and Precision
7(2)
1.3.4 Hard Versus Soft Computing
9(1)
1.3.5 Computability
10(1)
1.3.6 Optimization
11(1)
1.3.7 Solving
11(1)
1.3.8 External-Internal
12(2)
1.3.9 Uncertainty: Certain Uncertainty
14(1)
1.3.10 True or False
15(1)
1.4 Unanswered General Aspects
16(2)
1.5 Further Remarks
18(7)
References
20(5)
Part I Theoretical Issues
2 Prospective New Conceptual Categories
25(38)
2.1 Coherence
26(5)
2.2 Irreversibility
31(1)
2.3 Non-separability
32(6)
2.4 Between Macro and Micro
38(4)
2.5 Uncertainty: The Richness of Uncertain Uncertainty
42(3)
2.6 Interfaces as the Between
45(2)
2.7 Between Open and Closed
47(4)
2.7.1 More on Logical Openness
51(1)
2.8 Hypercomputation and Quantum Computing
51(3)
2.9 Further Remarks
54(9)
References
56(7)
3 Dynamics
63(82)
3.1 A Short Introduction to the Classical Concept
64(1)
3.2 Dynamical Coherence in Processes of Self-Organization and Emergence
65(24)
3.2.1 Entities, Relationships and Interactions
76(3)
3.2.2 Organization, Structure and Abstract Structure
79(1)
3.2.3 Dynamics of Self-Organization and Emergence
80(7)
3.2.4 Dynamical Coherence
87(2)
3.3 The Case of the Dynamics of the Cytoskeleton
89(1)
3.4 Ontological Dynamics of Systems
90(5)
3.5 Systems Identity
95(3)
3.6 Equivalence/Non-equivalence
98(2)
3.7 Acting on the Dynamics of Emergence
100(2)
3.8 Methods and Approaches to Model and Act upon the Dynamics of Emergence: Research on Meta-Structures
102(26)
3.8.1 The Meta-Structure Research Project
105(3)
3.8.2 Interactions
108(2)
3.8.3 Mesoscopic Variables
110(6)
3.8.4 Meta-Structural Properties
116(11)
3.8.5 Structural Regimes of Validity
127(1)
3.9 The Transient
128(2)
3.10 Further Remarks
130(15)
References
132(13)
4 From Collective Beings to Quasi-systems
145(42)
4.1 Pre-properties
146(5)
4.2 Quasi
151(3)
4.2.1 Analogy and Metaphor
151(2)
4.2.2 From Analogy to Quasi
153(1)
4.3 Quasi-properties
154(1)
4.4 Quasi-systems
155(6)
4.4.1 Specific Forms of Quasiness
158(1)
4.4.2 Levels of Quasiness
159(2)
4.5 From Collective Beings to Quasi-collective Beings
161(9)
4.5.1 Multiple Systems and Collective Systems
161(4)
4.5.2 Interchangeability as Strategy
165(1)
4.5.3 Quasi-multiple Systems and Quasi-collective Beings
166(4)
4.6 System Propagation
170(5)
4.6.1 The Case of Nonautonomous Systems
171(1)
4.6.2 The Case of Autonomous Systems
172(3)
4.7 Quasi-dynamic Coherence
175(1)
4.8 The Cytoskeleton as Quasi-system
176(1)
4.9 Further Remarks
177(10)
References
179(8)
5 New Formalization?
187(34)
5.1 Formalist or Constructivist?
188(6)
5.1.1 Uncertainty Principles
188(2)
5.1.2 Theory of Cognitive Operators
190(2)
5.1.3 Formalization
192(1)
5.1.4 Constructivism
193(1)
5.1.5 Formalism and Constructivism
194(1)
5.2 Beyond Non-explicit Models: Ideal -- Non-ideal?
194(4)
5.2.1 General Principles: Ideal Models
195(1)
5.2.2 General Principles: Non-ideal Models
196(1)
5.2.3 Homogeneity- and Heterogeneity-Based Models
197(1)
5.3 Models
198(7)
5.3.1 Representations
200(1)
5.3.2 DYSAM
201(3)
5.3.3 Simulations
204(1)
5.4 Three Aspects
205(8)
5.4.1 Non-invasiveness
206(2)
5.4.2 Non-prescribability
208(2)
5.4.3 Non-causality and Causalities
210(3)
5.5 Further Remarks
213(8)
References
215(6)
6 Theoretical Systemics and Quantum Field Theory
221(32)
6.1 Embedded Systemic Principles: The Need for the Introduction of a Quantum Approach
222(9)
6.2 Embedded Systemic Principles: The Introduction of Fields as Autonomous Entities
231(2)
6.3 Embedded Systemic Principles: The Use of Maximization or Minimization Principles
233(7)
6.4 Embedded Systemic Principles: The Existence of Nonequivalent Representations
240(7)
6.5 Further Remarks
247(6)
References
248(5)
7 Towards a New Systemics
253(34)
7.1 Between Levels of Emergence
255(14)
7.1.1 Bottom-Up and Up-Down Emergence
258(3)
7.1.2 Descriptions and Representations
261(4)
7.1.3 Transient Between Validity Regimes
265(1)
7.1.4 Recurrence of Properties at Different Levels
266(3)
7.2 Partiality, Instability, Uncertainty and Incompleteness of Properties for Levels of Emergence
269(10)
7.2.1 Dynamics and Coherences of Emergence
273(2)
7.2.2 Multiple Emergence
275(4)
7.2.3 Multiple-Way Causations
279(1)
7.3 Further Remarks
279(8)
References
281(6)
8 Network Science as New Systemics
287(18)
8.1 Network Science
287(2)
8.2 Complex Networks and Graph Theory
289(2)
8.3 Network Typology
291(3)
8.4 Simple Static Networks
294(3)
8.5 Conclusion: Is Network Science the Privileged Tool for Dealing with Emergence Processes?
297(8)
References
299(6)
Part II Translation into Social Culture
9 Translation into Social Culture
305(22)
9.1 The New Interdisciplinary
307(1)
9.2 The New Trans-Disciplinarity
308(2)
9.3 Knowledge for the Knowledge Society
310(3)
9.4 Ontologies, Knowledge and Language
313(6)
9.4.1 Social Dynamics as Changes in Ontology
314(1)
9.4.2 Social or Collective Ontologies
315(1)
9.4.3 Culture, Values and Ontologies
316(1)
9.4.4 Sources of Social Ontologies
316(1)
9.4.5 Social Changes and Ontological Changes
317(1)
9.4.6 An Example of Change in the Ontology of Management
318(1)
9.5 Further Remarks
319(8)
References
323(4)
10 Cases
327(20)
10.1 Architecture, City Planning, and Design
328(10)
10.1.1 The Implicit Project
330(1)
10.1.2 The Concept of Self-Architecture
331(2)
10.1.3 Environment and Architecture
333(3)
10.1.4 The Cognitive Construction of Landscape
336(1)
10.1.5 Completing Architecture
337(1)
10.2 The Complexity of Social Systems
338(2)
10.3 Other Cases
340(2)
10.4 Further Remarks
342(5)
References
342(5)
Appendix 1 Some Post-GOFS New Systemic Properties 347(24)
Appendix 2 Some Questions and Answers about the Post-Gofs 371(10)
Index 381
Gianfranco Minati, Mathematician, Founder and president of the Italian Systems Society (AIRS); Doctoral lecturer at the Polytechnic of Milan; Member of the scientific committee of Conferences and Systems Societies. He is author of 32 chapters in books; editor of 7 books and journals; author or co-author of 15 books; author of 30 articles and of academic publications. His current research interest focuses on 1) Modelling processes of emergence by using Meta-Structures; 2) the emerging of a post-Bertalanffy Systemics; 3) the Dynamic Usage of Models (DYSAM), Logical Openness; 4) Architecture and Design as the design of social meta-structures to influence processes of emergence in social systems.

Eliano Pessa, Theoretical Physicist, is actually Full Professor of General Psychology and Cognitive Modeling at the University of Pavia, Italy. He has already been Dean of the Department of Psychology and of the Inter-departmental Research Center on Cognitive Science in the same university. In the past he has been Associate Professor of Artificial Intelligence at the University of Rome La Sapienza, Faculty of Psychology. He is author or co-author of 10 books and of a large number of papers on scientific journals, books, proceedings of international conferences. His scientific research interests include: quantum theories of brain operation, computational neuroscience, artificial neural networks, models of emergence processes, quantum field theory, models of phase transitions in condensed matter, models of human memory and visual perception, models of decision making, models of statistical reasoning.