Complexities 1
Various Approaches in the Field of Techno-Scientific Knowledge
1. Edition December 2023
192 Pages, Hardcover
Wiley & Sons Ltd
Complexity is not a new issue. In fact, in their day, William of Ockham and René Descartes proposed what can best be described as reductionist methods for dealing with it.
Over the course of the twentieth century, a science of complexity has emerged in an ever-increasing number of fields (computer science, artificial intelligence, engineering, among others), and has now become an integral part of everyday life. As a result, everyone is confronted with increasingly complex situations that need to be understood and analyzed from a global perspective, to ensure the sustainability of our common future.
Complexities 1 analyzes how complexity is understood and dealt with in the fields of cybersecurity, medicine, mathematics and information. This broad spectrum of disciplines shows that all fields of knowledge are challenged by complexity. The following volume, Complexities 2, examines the social sciences and humanities in relation to complexity.
Philippe KOURILSKY
Preface xiii
Jean-Pierre BRIFFAUT
Chapter 1 The Complexity of Cybersecurity 1
Thierry BERTHIER and Thomas ANGLADE
1.1 Formal approach to the complexity of cybersecurity 1
1.2 Cybersecurity in real life: Advanced persistent threats, computer networks, defense teams and complex log data 27
1.3 User and entity behavior analysis as a way of reducing complexity 39
1.4 Conclusion and future work 47
1.5 References 48
Chapter 2 Complexity and Biology: When Historical Perspectives Intersect with Epistemological Analyses 51
Céline CHERICI
2.1 Complexity throughout the history of thoughs on living 53
2.2 The living: Between potentialities and actualizations 64
2.3 Reductionist biotechnologies? 73
2.4 References 82
Chapter 3 Two Complexities: Information and Structure Content 87
Jean-Paul DELAHAYE
3.1 The simple, the random and the structured: A triangle of concepts key to a complete understanding 87
3.2 Calculation, the key to the solution 88
3.3 Thought experiment 89
3.4 Mathematical definition 90
3.5 Random complexity and structural complexity 91
3.6 Recent progress 92
3.7 Less undecidability 93
3.8 Experimentation 94
3.9 Appendices 95
3.10 References 99
Chapter 4 Leveraging Complexity in Oncology-A Data Narrative 101
Xosé M FERNÁNDEZ
4.1 Large collaborative research initiatives-the Human Genome Project 104
4.2 Human cell atlas - unraveling complexity 105
4.3 From bench to bedside 107
4.4 The battle with cancer 109
4.5 Health economics - cost is another matter 112
4.6 From molecules to medicine 115
4.7 Artificial intelligence 117
4.8 The fourth paradigm 120
4.9 Modeling the complexity of cancer 121
4.10 References 124
Chapter 5 Complexity or Complexities of Information: The Dimensions of Complexity 129
Jacques PRINTZ
5.1 Introduction 129
5.2 A brief historical overview 130
5.3 The phenomenology of complexity in systems engineering 131
5.4 The four dimensions of complexity 138
5.5 The term "simplexity": A remark on Richard Feynman's Nobel lecture 142
5.6 Computational volume: Remarks on the first quantification of complexity 144
5.7 References 151
List of Authors 153
Index 155
