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Novel Properties of Living and Other Super-Complex Systems
Novel Properties of Living and Other Super-Complex Systems
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Author(s): Kvitash, Vadim
ISBN No.: 9781138000407
Pages: 256
Year: 201901
Format: Trade Cloth (Hard Cover)
Price: £91.40
Dispatch delay: Dispatched between 7 to 15 days
Status: Available (Forthcoming)

1. Introduction 1.1 Current understanding/misunderstanding of what Systems are 1.2 Current understanding/misunderstanding of what Complex Systems are 1.3 Problems in current understanding of what Complexity is Part I Relonics 2. The New Exact Science of Relonics 2.1 What makes Relonics a science? 2.1.

1 What makes Relonics an exact science? 2.1.2 What makes Relonics a complete science? 2.1.3 What makes Relonics a science of Complex Systems? 2.2 Axioms of Measurement 2.2.1 Natural extremes and their ranges 2.

2.2 Natural finite scale of 101 units 2.2.3 Zero as a quantitative relonic unit 2.3 Complex Systems Relationships 2.3.1 Systems-Specific Relationships 2.3.

2 Self-Scaled Relationships 2.3.3 Universality of Self-Scaled-Systems-Specific Relationships 2.3.4 Complex Systems Parameters, Variables and meta-Variables 2.4 Significance and Summary 2.5 Notes References Part II Relons and meta-Relons 3. Relons: Basic 1D Units of Self-Scaled-Systems-Specific Relationships 3.

1 Critical importance of non-ambiguous terminology 3.2 Single Meaning Naming 3.3 Ontology 3.4 Epistemology 3.5 Methodology 3.6 Platform Technology 3.7 Generic Tools 4. Relons: Computation 4.

1 Conditions for computation 4.2 Varieties of computations 4.3 Characteristics of relonic computation 4.4 Precision and accuracy 5. Relons: Classification 5.1 One type of normal relons 5.2 Two types of anti-relons 5.3 Three types of anti-anti-relons 5.

4 Quantitative side of relons 5.5 Qualitative side of relons 5.6 Relational side of relons 5.7 Directional side of relons 5.7.1 Symbolic representation of relons 5.7.2 Visualization of relons 6.

Relons: Basic Properties and their Measures 6.1 As a basic units of systemity and complexity 6.2 As a basic six parameters of systemity and complexity 6.3 As a basic variable of systemity and complexity 7. Relons: Representation of relonic networks 7.1 Principle of representation 7.2 Technique for representation 7.3 Demonstration 7.

4 The need for Relonic Network Languages 7.4.1 Basic Idiomatic Relonic Network Language 7.4.2 Advanced Idiomatic Relonic Network Languages 8. Relonization 8.1 Definition of Relonization 8.2 Formula for Relonization 8.

3 Origin of the formula for Relonization 8.4 Example of Relonization 8.5 New kind of information generated by Relonization 8.6 Significance and summary 8.7 Notes References 9. Meta-Relons: Systems-Specific Relationships of Relationships 9.1 The late Professor G. A.

Swanson''s idea of importance of relationships of relationships for future progress in systems sciences 9.2 Relationships of relationships as a known unknown of the complex systems 9.3 Existing abstract algebra of relations 9.4 Existing abstract logic of relationships of relationships 9.5 Definition of meta-relons 9.6 Condition for meta-relons mining 9.7 Measurements of meta-relons 9.8 Emergent properties of meta-relons 9.

9 Meta-relons representation 9.10 Significance and summary 9.11 Notes References Part III Trilons and meta-Trilons 10. Trilons: 2D units of Systemity and Complexity 10.1 Definition of trilons 10.2 Trilonic symmetry and trilonic asymmetry 10.3 Trilons as parameters 10.4 Trilons as variables 10.

5 Classification 10.6 Representation 11. Trilonic Paradox 11.1 Triangle as a minimal geometric model of systemity and complexity 11.2 Emergent properties of trilons 11.2.1 Euclidian properties of trilons 11.2.

2 Non-Euclidian properties of trilons Relonic non-Euclidity of trilons Measures of relonic non-Euclidity of trilons 11.2.

2.3 Minimal non-Euclidity of trilons 11.3 The new kind of dimensionality 11.4 Significance of trilonic dimensionality 12. Classification of Trilons 12.1 Classification based on relonic properties 12.2 Classification based on dimensional properties 12.3 Combined classification based on relonic and dimensional properties 12.

4 Significance 13. Trilonization 13.1 Definition of trilonization 13.2 Formula for trilonization 13.3 Origin of the formula for trilonization 13.4 Example of trilonization 13.5 New kind of information generated by trilonization 13.6 Significance and summary 14.

Meta-Trilons: Advanced 2D units of Systemity and Complexity 14.1 Definition of meta-Trilons 14.2 Condition for meta-Trilons mining 14.3 Measurements of meta-Trilons 14.4 Emergent properties of meta-Trilons 14.4.1 Meta-Trilonic Run 14.4.

2 Computational limit of meta-Trilonic Run 14.4.3 Geometric and logical infinity of meta-Trilons 14.4.4 Meta-Trilonic betweenity 14.4.5 Meta-Trilonic fractality 14.4.

6 Meta-Trilonic infinite betweenity 14.4.7 Meta-Trilonic waves Spiral properties of meta-Trilonic waves 14.5 Representation of meta-Trilons 14.6 Significance and summary 14.

7 Notes References Part IV Relonic Laws 15. Relonics Laws operating in Living Systems 15.1 Definition of Relonic Laws 15.2 Universality of Relonic Laws 15.3 Formulation of Six Relonic Laws 15.4 Generalization of Six Relonics Laws into a single algebraic formula Part V Tetralons and meta-Tetralons 16. Tetralons: 3D units of Systemity and Complexity 16.1 Definition of tetralons 16.

2 Tetralonic symmetry and tetralonic asymmetry 16.3 Tetralons as parameters 16.4 Tetralons as variables 16.5 Classification 16.6 Representation 17. Tetralonization 17.1 Definition of Tetralonization 17.2 Formula for Tetralonization 17.

3 Origin of the formula for Tetralonization 17.4 Example of Tetralonization 17.5 New kind of information generated by Tetralonization 17.6 Significance and summary 17.7 Notes References 18. Meta-Tetralons: Advanced 3D Units of Systemity and Complexity 18.1 Definition of meta-Tetralons 18.2 Condition for meta-Tetralons mining 18.

3 Measurements of meta-Tetralons 18.4 Emergent properties of meta-Tetralons 18.5 Meta-Tetralons representation 15.5 Significance and summary 15.6 Notes References Part VI Relonic Spirality 19. Relonic Spirality of Living Systems 19.1 Spirality in Nature 19.2 Relonic Spirality 19.

2.1 Definition 19.2.2 Representation 19.2.3 Symmetry and Asymmetry of Relonic Spirals 19.3 Relonic Spirals as parameters 19.4 Relonic Spirals as variables 19.

5 Measures of Relonic Spirality 19.5.1 Relonic Spirality measured by types of relons 19.5.2 Relonic Spirality measured by types of trilons 19.5.3 Relonic Spirality measured by types of tetralons 19.6 Significance and summary 19.

7 Notes References Part VII Relonic Reality Testing 20. Demonstration of Relonic Reality 20.1 Introduction 20.2 Selection of target case 20.3 Novel useful knowledge/information generated by Relonics 20.3.1 Application of Relons 20.3.

2 Application of Trilons 20.3.3 Application of meta-Trilons 20.3.4 Application of Tetralons 20.3.5 Application of meta-Tetralons 20.3.

6 Application of Relonic Spirality Part VIII Discussion and Significance 21. Major Theoretical Relonics Findings 22. Major Applied Relonics Findings 23. Scientific Implications of Relonic Findings 24. Pragmatic Implications of Relonic Findings 25. Conclusions References Glossary.

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