Part 1: The Principles of Complexity: Understanding the Hidden Sources of Order by Dr. Stefani Crabtree
Since at least Plato, Western philosophers have attempted to understand how and why life exists. Attempting to understand our place in the web of life has led scientists, and others with a philosophical nature, to live and study among different societies and ecosystems.
Complex adaptive system science has aided the pursuit of understanding who we are, where we come from, and where we are going. When Homo sapiens spread out of Africa as early as 125,000 years ago, our species began to rapidly modify environments as it encountered them. While the initial impacts of humans on ecosystems may have been small in scale — over time, human impacts across the globe compounded and intensified. From these simple antecedents, complex structures among tens of thousands of distinct cultures grew. Yet despite differences among these varying societies across the 510 million square kilometers of land on earth, human action may be in fact subject to unifying principles of organization.
A new research paper produced by the Santa Fe Institute examines the principles of complexity and hidden sources of order in our world. Professor Stefani Crabtree of the Department of Environment and Society at Utah State University begins by establishing a unified definition of complex adaptive systems and then goes on to explore how complex adaptive systems science is useful for understanding the order that governs social and ecological systems. In doing so, Crabtree discusses some of the major questions at the heart of our understanding of humanity, including: Where do we come from? What are we? Where are we going?
Part 2: Autocatalytic Sets: Complexity at the Interface of Chemistry and Biology by Dr. Wim Hordijk
Life is more than the sum of its constituent molecules. It depends crucially on the specific interactions of chemical reaction networks that give rise to living organisms. In particular, life depends on catalysts, molecules that speed up and regulate chemical reactions. These catalysts are produced by the very same chemical reaction networks that they regulate. In other words, the reaction networks underlying living systems are self-regulating and self-sustaining.
One way to model and study such self-sustaining reaction networks is with the concept of autocatalytic sets. An autocatalytic set is a chemical reaction network in which the molecules mutually catalyze each other’s formation from a basic energy source. A new research paper, produced by the Santa Fe Institute and written by Dr. Wim Hordijk, takes an in-depth look at the concept of autocatalytic sets, specifically from a complex systems perspective.
In his review, Hordijk explores some of the fundamental questions underlying research on autocatalytic sets which, in their original conception, were largely inspired by the origin of life problem. His lines of inquiry include: How does chemistry become biology? How do chemical reaction networks acquire self-sustaining and self-reproducing abilities, and how do they evolve to become more complex and diverse?
Ultimately, Hordijk concludes that there is much to be done in this field of research. The eventual goal will be to have autocatalytic sets spontaneously emerging and evolving in controlled laboratory settings, which could have important applications in, for example, medicine and synthetic biology.
Part 3: Beyond Pairwise: Higher-Order Interactions in Complex Systems
Complex systems are often defined as systems composed of large numbers of individual parts, in which the global behavior of the collective is difficult to predict or understand from the behavior of the constituents. The resulting global behavior is often called “emergent.” Classic examples include the emergence of cognition from neurons, the emergence of cities from human activity, or the emergence of life from a soup of chemicals. Some of the deepest, most urgent, and most important questions facing humanity today concern interconnected complex systems: food webs & ecosystems, cities & economies, poverty & systemic racism, diseases & pandemics, sustainability & global warming.
Complex systems are frequently modeled by their collections of paired interactions, such as connections between neurons, exchange of goods & services between individuals, or predator-prey relations between species. Over the last 25 years, modeling interactions in a pairwise manner has been a tremendously successful paradigm. However, the presence of irreducible higher-order interactions has long been recognized — these are interactions between three or more parties that cannot be explained by any collection of pairwise interactions, such as chemical catalysts, or the interactions between parents and a child.
A new research paper, produced by the Santa Fe Institute and written by Dr. Joshua Grochow, examines some of the applications and advances in higher-order interactions that have taken place over the past 20 years. In the extensive overview, Grochow seeks to elucidate the connections between different kinds of higher-order interactions, far beyond generalized networks. In addition to higher-order topological generalization of networks, the research review also draws connections between higher-order interactions in information theory, computational complexity, thermodynamics, polynomial equations (algebraic geometry), and dynamics, with a view towards understanding complex systems in general.