Complexity and Simplicity / Ewa Błaszczak [and many others].

Format:

Book

Author/Creator:

Błaszczak, Ewa, author.

Language:

English

Subjects (All):

Complexity (Philosophy).

Simplicity.

Physical Description:

1 online resource (296 pages)

Place of Publication:

Boston : Brill, 2024.

Summary:

Complexity and Simplicity is conceived as a project that brings together a wide range of scientific and artistic perspectives, exhibiting both the advantages of interdisciplinary breadth and the depth of up-to-date insights delivered by outstanding specialists in the relevant fields.

Contents:

Intro

Contents

Acknowledgements

Figures and Tables

Notes on Contributors

Authors Including Their Specializations

1. Introduction

Reference

2. A Dispute over Acting Methods

Abstract

Keywords

1 Realist Theatre as the Plane of the Dispute

2 Complexity: Key Notions in the Stanislavsky System

3 Simplicity: Mamet Speaks Out against Stanislavsky

4 Acting Practice

5 From the Simplicity of Action to the Complexity of Emotional Experiencing: An Attempt at Implementing Mamet's Tenets

6 Conclusions

References

3. V(D)J Recombination

Abstract Keywords

1 Introduction

2 Recombination of the Genes of T and B Cell Receptors

3 Selection of the Receptor Repertoire: V(D)J Recombination Control

4 Evolution of Transposase

Notes

4. Degrees of Complexity in the Recognition of Substrates by Proteolytic Enzymes

2 From Simplicity to Complexity of Proteases and Their Binding Mechanisms

3 Conclusions

5. Shocking Harmony

2 Protein: Structure and Functions

3 Proteome: The Protein Pool of a Cell 4 HSP s: The Basic Elements of the Protein Quality Control System

5 The Life Cycle of a Protein

6 Folding

7 Aggregation: Disastrous Consequences for the Cell

8 Machinery Responsible for the Degradation of Proteins

9 PQC System: Collaboration between Components

10 Conclusions

6. Can Consonance Be Explained with Mathematical Proportions?

2 Definitions

3 Historical Context

4 Hypothesis

5 Discussion

Note

7. Reinforcement Learning Tasks

Keywords 1 Introduction

2 Probabilistic Learning Task

3 Biologically Plausible Neural Networks

3.1 Modelling the Neuron

3.2 Modelling the Network of Neurons

3.3 Modelling the Learning Process

4 Computational Models

4.1 Decision-Making

4.2 Learning

4.3 Interpretation of Behavioral Data

5 Relationship between the Computational Model and the Neural Network

6 Concluding Remarks

8. Art

I

9. The Complexity of a Straight Line

1 Visual Intuitions

2 Construction of a Straight Line 3 Divisions of a Straight Line

4 Indicating Points

5 The Universum of Points

6 Discrete Complexity

7 The Limits of an Image

10. Simplifying Complexity

2 Peptide-Mediated Delivery of Therapeutic Agents

3 The Complexity of Inorganic Compounds

4 The Biological Assessment of Synthesized Complexes

5 Conclusions

11. The Complexity of the New Media

1 New Media Are Complex

2 Methodological Complexity

3 Analytical Complexity.

Notes:

Description based on publisher supplied metadata and other sources.