What Is a Complex System?

James Ladyman and Karoline Wiesner provide an introduction to complexity science, explaining its conceptual and mathematical foundations, and its importance in understanding complex systems.

Format: Paperback / softback
Length: 184 pages
Publication date: 04 September 2020
Publisher: Yale University Press

A comprehensive and in-depth exploration of the rapidly evolving realm of complexity science, delving into its conceptual and mathematical underpinnings. While the term "complexity science" encompasses a wide range of phenomena, such as the behavior of honeybees, the economic markets, the human brain, and the climate, there remains a lack of consensus regarding its fundamental principles. In this introductory guide, philosopher of science James Ladyman and physicist Karoline Wiesner present a unified account of complexity that encompasses the diverse concepts and mathematical tools employed to understand complex systems. They introduce the key characteristics of complex systems, explore different notions of complexity, and develop their unique perspective. Furthermore, they elucidate the significance of complexity science in our contemporary world, highlighting its potential to unravel the mysteries of complex systems and inform our understanding of the world around us.

Complex systems are characterized by their intricate structure and behavior, which cannot be fully explained by traditional approaches. They exhibit a wide range of properties, including self-organization, emergence, and adaptability. These systems are found in various fields, such as biology, economics, social sciences, and engineering.

One of the key challenges in studying complex systems is the lack of a universal definition. Different researchers and scholars have proposed different definitions of complexity, which can lead to confusion and misunderstandings. However, there are some common features that define complex systems, such as the presence of feedback loops, the interaction of multiple agents, and the emergence of new patterns and structures over time.

Complex systems can be studied using a variety of methods, including mathematical modeling, computer simulations, and empirical observations. These methods allow researchers to explore the behavior of complex systems and identify patterns and trends that may not be apparent using traditional approaches.

One of the most important concepts in complexity science is the idea of self-organization. Self-organization refers to the process by which complex systems emerge from the interaction of simple components. This process is driven by feedback loops and the ability of systems to adapt to changing conditions.

Another important concept is emergence, which refers to the process by which new patterns and structures emerge from the interaction of multiple agents. Emergence can occur in a wide range of systems, including social systems, biological systems, and technological systems.

Complex systems can also be studied using the concept of complexity measures, such as the complexity of a system's structure, the complexity of its behavior, and the complexity of its interactions. These measures can help researchers identify the key factors that drive the behavior of complex systems and develop models that can predict their behavior.

In conclusion, complexity science is a rapidly evolving field that is shedding light on the complex behavior of a wide range of systems. It is characterized by its intricate structure and behavior, the presence of feedback loops and the interaction of multiple agents, and the emergence of new patterns and structures over time. By studying complex systems, researchers can gain a deeper understanding of the world around us and develop new tools and technologies that can improve our lives.

Weight: 296g
Dimension: 235 x 155 x 15 (mm)
ISBN-13: 9780300251104