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Complexities. 1, Various approaches in the field of techno-scientific knowledge /

Bibliographic Details
Other Authors: Briffaut, Jean-Pierre (Editor), Kourilsky, Philippe (writer of foreword.)
Format: eBook
Language:English
Published: London, UK : Hoboken, NJ : ISTE Ltd ; John Wiley & Sons, Inc., 2023.
Series:Systems and industrial engineering series. Systems of systems complexity set ; volume 5
Subjects:
Technological complexity.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Title Page
  • Copyright Page
  • Contents
  • Foreword: Sharing Complexity: An Acclaim for Complex Thinking
  • Preface
  • Chapter 1. The Complexity of Cybersecurity
  • 1.1. Formal approach to the complexity of cybersecurity
  • 1.1.1. Cybersecurity and theoretical computing
  • 1.1.2. Malware and computer virology
  • 1.1.3 Cyber-risk
  • 1.1.4. Cognitive attacks and immersive fictitious data architectures
  • 1.2. Cybersecurity in real life: Advanced persistent threats, computer networks, defense teams and complex log data
  • 1.2.1. What is an APT?
  • 1.2.2. What is the network that companies need to protect? Who protects it? Why are Situational Crime Prevention (SCP) systems complex systems?
  • 1.2.3. What kind of anomalies need to be raised in order to detect a multi-stage APT attack?
  • 1.3. User and entity behavior analysis as a way of reducing complexity
  • 1.3.1. Presentation of the method
  • 1.3.2. Data used and details of the method
  • 1.3.3. Visual results and interpretation
  • 1.4. Conclusion and future work
  • 1.5. References
  • Chapter 2. Complexity and Biology: When Historical Perspectives Intersect with Epistemological Analyses
  • 2.1. Complexity throughout the history of thoughs on living
  • 2.1.1. The roots of thinking on complexity
  • 2.1.2. From machinules to cells: An ordered complexity?
  • 2.1.3. The organism: An autonomous complexity
  • 2.1.4. The emergence of complexity between comparative anatomy and embryology
  • 2.2. The living: Between potentialities and actualizations
  • 2.2.1. Teratology to better understand the links between actualization and potentiality in the living
  • 2.2.2. Time, a key concept for understanding the interactions between the possible and the actualized
  • 2.3. Reductionist biotechnologies?
  • 2.3.1. From physics to biotechnology.
  • 2.3.2. When the living extend beyond the experimental framework
  • 2.4. References
  • Chapter 3. Two Complexities: Information and Structure Content
  • 3.1. The simple, the random and the structured: A triangle of concepts key to a complete understanding
  • 3.2. Calculation, the key to the solution
  • 3.3. Thought experiment
  • 3.4. Mathematical definition
  • 3.5. Random complexity and structural complexity
  • 3.6. Recent progress
  • 3.7. Less undecidability
  • 3.8. Experimentation
  • 3.9. Appendices
  • 3.9.1. Complexification
  • 3.9.2. Random and structural complexity
  • 3.9.3. Incalculable but approximate
  • 3.9.4. The law of slow growth
  • 3.9.5. Experimental evaluation of K(s) and P(s)
  • 3.10. References
  • Chapter 4. Leveraging Complexity in Oncology
  • A Data Narrative
  • 4.1. Large collaborative research initiatives
  • the Human Genome Project
  • 4.2. Human cell atlas
  • unraveling complexity
  • 4.3. From bench to bedside
  • 4.4. The battle with cancer
  • 4.5. Health economics
  • cost is another matter
  • 4.6. From molecules to medicine
  • 4.7. Artificial intelligence
  • 4.8. The fourth paradigm
  • 4.9. Modeling the complexity of cancer
  • 4.10. References
  • Chapter 5. Complexity or Complexities of Information: The Dimensions of Complexity
  • 5.1. Introduction
  • 5.2. A brief historical overview
  • 5.3. The phenomenology of complexity in systems engineering
  • 5.3.1. Measuring the complexity of an assembly through the integration process and tests
  • 5.4. The four dimensions of complexity
  • 5.5. The term simplexity: A remark on Richard Feynman's Nobel lecture
  • 5.6. Computational volume: Remarks on the first quantification of complexity
  • 5.6.1. Quantifying interactions and functional dependencies
  • 5.7. References
  • List of Authors
  • Index
  • EULA.