Quantum Physics is the solid basis of most of our understanding of nature and has been the driver of many technological advances. The trilogy Power of the Invisible: The Quantessence of Reality gives a coherent account of this huge domain of knowledge, which is linked to some fifty Nobel prizes and is one of the greatest scientific achievements of the twentieth century. This quantum story follows three lines in parallel: a pictorial, an explanatory and a mathematical one.

Thinking Through Archaeological Complexity explores how archaeologists can engage with complex adaptive systems, examining dynamic interactions between humans and environments across space and through time. It offers a roadmap for integrating theory, method, and data through a complexity science lens.

This volume bridges archaeology and complexity science, offering a transdisciplinary framework for understanding long-term socio-ecological dynamics. It provides a substantive overview of how complex adaptive systems science is used in archaeology. Drawing from case studies in the Ancestral Pueblo Southwest, it demonstrates how tools like agent-based modeling, ecological and social network analysis, and settlement scaling reveal emergent patterns in the archaeological record. The book critically examines concepts such as resilience, adaptation, innovation, and transformation, offering alternatives to overly linear narratives. Emphasizing methodological transparency, it provides practical guidance for scholars interested in modeling, data integration, and working across disciplinary boundaries while grounding in theoretical pluralism. By situating archaeological knowledge within broader scientific conversations, the book encourages readers to reimagine the past not as static or collapsed, but as complex, entangled, and instructive for contemporary challenges.

This book is essential reading for students, researchers, and practitioners in archaeology as well as complexity science. It will also appeal to scholars in anthropology, environmental studies, geography, and network science interested in long-term human-environmental dynamics and the application of complex systems approaches in historical contexts.

The Complex World, originally published in Volume 1 of Foundational Papers in Complexity Science, presents an entirely new framing of nature, of the human role in the natural and technological worlds, and what it means to prosper on a living planet.

We live in a complex world — meaning one that is increasingly connected, evolving, technological, volatile, and potentially poised for catastrophe. And yet we continue to treat the world as if it were simple: linear, unchanging, disconnected, and infinitely exploitable.

Complexity science is an approach to understanding and surviving in a complex world. In this concise and comprehensive introduction, Santa Fe Institute President David C. Krakauer traces the roots of complexity science back to the nineteenth-century science of machines—evolved and engineered—into the twentieth-century science of emergent systems.

By combining insights from evolution, computation, nonlinear dynamics, and statistical physics, complexity science provides the first scientific framework for understanding the purposeful universe.

Humans are the ultimate complex systems. In this monograph intended for psychologists and social scientists interested in modeling psychological processes, Han L. J. van der Maas argues that we can only succeed in exploring the psychological system by understanding its complexity. By applying the tools of complexity science to psychology, researchers and practitioners can achieve desperately needed breakthroughs in the social sciences.

The book has three primary objectives: to provide a comprehensive overview of complex-systems research, with a particular emphasis on its applications in psychology and the social sciences; to provide skills for complex-systems research; and to foster critical thinking regarding the potential applications of complex systems in psychology. Readers should have a basic understanding of mathematics and knowledge of the programming language R.

Complex-Systems Research in Psychology explores a range of topics, including chaos, bifurcation, and self-organization in psychological processes, psychological network analysis, as well as agent-based modeling of social processes. It offers applications in various areas of psychology, such as perception, depression, addiction, cognitive development, and polarization.

An intriguing new scientific theory that explains what life is and how it emerges.

What is life? This is among the most difficult open problems in science, right up there with the nature of consciousness and the existence of matter. All the definitions we have fall short. None help us understand how life originates or the full range of possibilities for what life on other planets might look like.

In Life as No One Knows It, physicist and astrobiologist Sara Imari Walker argues that solving the origin of life requires radical new thinking and an experimentally testable theory for what life is. This is an urgent issue for efforts to make life from scratch in laboratories here on Earth and missions searching for life on other planets.

Walker proposes a new paradigm for understanding what physics encompasses and what we recognize as life. She invites us into a world of maverick scientists working without a map, seeking not just answers but better ways to formulate the biggest questions we have about the universe. The book culminates with the bold proposal of a new theory for identifying and classifying life, one that applies not just to biological life on Earth but to any instance of life in the universe. Rigorous, accessible, and vital, Life as No One Knows It celebrates the mystery of life and the explanatory power of physics.

Volume one of Søren Kierkegaard’s Either/Or explores the crisis of the modern secular void—with its attendant doubt, ennui, and alienation—from the first-person perspective of an aesthete who, lacking any epistemic or moral foundations, grows increasingly obsessed with what he calls “the interesting.” In a close explication of the history of that aesthetic concept and a thorough exegesis of this volume, Kierkegaard’s Concept of the Interesting: The Aesthetic Gulf in Either/Or I explores the aesthete’s views on beauty, opera and music, tragedy and comedy, time, unhappiness, the difference between suffering and pain, boredom, eroticism, deception, and seduction, along with the ways in which these precipitate the ambition for increasingly interesting experiences. In this examination, Anthony Eagan thoroughly reveals Kierkegaard’s own perspective on how an exclusively aesthetic attitude can lead to an ever-more voracious tendency to interpret the world in a private, self-defeating, and unscrupulous fashion—one arising from and ultimately leading to moral solipsism and despair. This book develops a comprehensive understanding of Either/Or I that is crucial for understanding the rest of Kierkegaard’s authorship.

This project maps the development of complex-systems science through eighty-eight revolutionary works originally published between 1922 and 2000. Curated by SFI President David C. Krakauer, each seminal paper is introduced and placed into its historical context, with enduring insights discussed by leading contemporary complexity scientists.
These four volumes are a product of collective intelligence. More than a compilation, Foundational Papers represents large-scale collaboration within the SFI community—brilliant thinkers who have contextualized the work that shaped their own research, resulting in a sparkling demonstration of how complexity shatters the usual scientific divisions and a look back at the path we’ve followed in order to gain a clearer view of what lies ahead.

We live in an age of increasing complexity, where accelerating technology and global interconnection hold more promise – and more peril – than any other time in human history. The fossil fuels that have powered global wealth creation now threaten to destroy the world they helped build. Automation and digitization promise prosperity for some, unemployment for others. Financial crises fuel growing inequality, polarization and the retreat of democracy. At heart, all these problems are rooted in the economy, yet the guidance provided by economic models has often failed.

Many books have been written about Doyne Farmer and his work, but Making Sense of Chaos is the first in his own words. It presents a manifesto for how to do economics better. A tale of science and ideas, Farmer fuses his profound knowledge and expertise with stories from his life to explain how we can bring a scientific revolution to bear on the economic conundrums facing society.

Using big data and ever more powerful computers, we are now able for the first time to apply complex systems science to economic activity, building realistic models of the global economy. The resulting simulations and the emergent behavior we observe form the cornerstone of the science of complexity economics, allowing us to test ideas and make significantly better economic predictions – to better address the hard problems facing the world.

The Santa Fe Institute celebrates one of its founders with a new edition of a seminal work by the late Nobel laureate Murray Gell-Mann. Originally published in 1994, The Quark & the Jaguar spans the simple and the complex, examining the relationship between the fundamental laws of physics and the complexity and diversity of the natural world. Neither autobiography nor scientific treatise, this uniquely personal and unifying vision reflects Gell-Mann’s broad expertise, curiosity, and passion for topics as disparate as archaeology, linguistics, child development, and computers.

Acclaimed science writer George Johnson brings his formidable reporting skills to the first biography of Nobel Prize-winner Murray Gell-Mann, the brilliant, irascible man who revolutionized modern particle physics with his models of the quark and the Eightfold Way.

Beautifully balanced in its portrayal of an extraordinary and difficult man, interpreting the concepts of advanced physics with scrupulous clarity and simplicity, Strange Beauty is a tour de force of both science writing and biography. This updated edition, with a new foreword by Douglas Hofstadter, includes reflections on the final years of Gell-Mann’s life and his influence on the Santa Fe Institute.

An exhilarating, genre-bending exploration of curiosity’s powerful capacity to connect ideas and people.

Curious about something? Google it. Look at it. Ask a question. But is curiosity simply information seeking? According to this exhilarating, genre-bending book, what’s left out of the conventional understanding of curiosity are the wandering tracks, the weaving concepts, the knitting of ideas, and the thatching of knowledge systems—the networks, the relations between ideas and between people. Curiosity, say Perry Zurn and Dani Bassett, is a practice of connection: it connects ideas into networks of knowledge, and it connects knowers themselves, both to the knowledge they seek and to each other. 

Zurn and Bassett—identical twins who write that their book “represents the thought of one mind and two bodies”—harness their respective expertise in the humanities and the sciences to get irrepressibly curious about curiosity. Traipsing across literatures of antiquity and medieval science, Victorian poetry and nature essays, as well as work by writers from a variety of marginalized communities, they trace a multitudinous curiosity. They identify three styles of curiosity—the busybody, who collects stories, creating loose knowledge networks; the hunter, who hunts down secrets or discoveries, creating tight networks; and the dancer, who takes leaps of creative imagination, creating loopy ones. Investigating what happens in a curious brain, they offer an accessible account of the network neuroscience of curiosity. And they sketch out a new kind of curiosity-centric and inclusive education that embraces everyone’s curiosity. The book performs the very curiosity that it describes, inviting readers to participate—to be curious with the book and not simply about it.

This book provides a unified, theory-driven introduction to key mathematical and agent-based models of social dynamics and cultural evolution, teaching readers how to build their own models, analyze them, and integrate them with empirical research programs. It covers a variety of modeling topics, each exemplified by one or more archetypal models, and helps readers to develop strong theoretical foundations for understanding social behavior. Modeling Social Behavior equips social, behavioral, and cognitive scientists with an essential tool kit for thinking about and studying complex social systems using mathematical and computational models.

• Combines both mathematical and agent-based modeling of social behavior
• Integrates cognitive science, social science, and cultural evolution
• Covers topics such as the philosophy of modeling, collective movement, segregation, contagion, polarization, the evolution of cooperation, the emergence of norms, networks, and the scientific process
• Discusses more advanced topics, including how to use models to build a more robust empirical research program
• An ideal introductory textbook for graduate students or advanced undergraduates
• An invaluable resource for practitioners

Many animals and plants eke out seemingly unremarkable lives. Passive, constrained, modest, threatened. Then, in a blink of evolutionary time, they flourish spectacularly. Once we start to look, these ‘sleeping beauties’ crop up everywhere. But why?

Looking at the book of life, from apex predators to keystone crops, and informed by his own cutting-edge experiments, renowned scientist Andreas Wagner demonstrates that innovations can come frequently and cheaply to nature, well before they are needed. We have found prehistoric bacteria that harbour the remarkable ability to fight off 21st-century antibiotics. And human history fits the pattern too, as life-changing technologies are invented only to be forgotten, languishing in the shadows before they finally take off.

In probing the mysteries of these sleeping beauties, Wagner reveals a crucial part of nature’s rich and strange tapestry.

The specter of information is haunting sciences. With these words, Wojciech H. Zurek invited fellow scientists to attend the 1989 Santa Fe Institute workshop on which this proceedings volume is based. Thermodynamics, statistical mechanics, the quantum theory of measurement, the physics of computation, dynamical systems, molecular biology, and computer science — information remains central to the 32 essays collected in this new edition of Complexity, Entropy & the Physics of Information.

Like the original meeting, this two-volume set explores the connections between quantum and classical physics, information and its transfer, and computation — and their significance for the formulation of physical theories. A newly written preface from attendee Seth Lloyd contextualizes the significance of this record of a meeting that marked the intersection of information, physics, complexity, and computation.

Bowles and Halliday capture the intellectual excitement, analytical precision, and policy relevance of the new microeconomics that has emerged over the past decades. Drawing on themes of the classical economists from Smith through Marx and 20th century writers - including Hayek, Coase, and Arrow - the authors use twenty-first century analytical methods to address enduring challenges in economics.

The subtitle of the work - Competition, conflict, and coordination - signals their focus on how the institutions of a modern capitalist economy work, introducing students to recent developments in the microeconomics of credit and labor markets with asymmetric information, a dynamic analysis of how firms compete going beyond price taking, as well as bargaining over the gains from exchange, social norms, and the exercise of power.

The new benchmark model proposed by Bowles and Halliday is based on an empirical approach to economic actors and problems. They start from the premise that contracts are incomplete, and that as a result market failures, rather than being a special case illustrated by environmental spillovers, are to be expected in markets for labor, credit, knowledge and throughout the economy. They explain how experiments show that human motivations include ethical as well as other-regarding preferences (rather than entirely self-interested) and explain why the technologies of knowledge-based economies are a source of winner-take-all rather than stable competition. The authors also consider the intrinsic limits of mechanism design and governmental interventions in the economy.

Teaching recent developments in microeconomic theory allows the authors to provide students with the tools to analyze and engage in informed debate on the issues that concern them most: climate change, inequality, innovation, and epidemic spread. Tradeoffs are highlighted by providing models in which capitalism can be seen as an "innovation machine" that raises material living standards on average, while at the same time sustaining levels of inequality that many find to be unfair.

Earth is full of examples of social behavior. When individual bacteria, insects, primates, and even self-driving cars make productive choices about their interactions with other individuals, that’s sociality. We can trace social behavior back to the unicellular organisms that became the building blocks for life on our planet. And humans, by becoming social, gained a great advantage in the evolutionary race for survival. If we could rewind Earth’s clock, would social behavior emerge yet again, and could we expect to find it elsewhere in the Universe? “Probably yes,” writes SFI External Professor John H. Miller, author of “Ex Machina: Coevolving Machines & the Origins of the Social Universe.”

Human beings around the world increasingly live in urban environments. In Introduction to Urban Science, Luis Bettencourt takes a novel, integrative approach to understanding cities as complex adaptive systems, claiming that they require us to frame the field of urban science in a way that goes beyond existing theory in such traditional disciplines as sociology, geography, and economics. He explores the processes facilitated by and, in many cases, unleashed for the first time by urban life through the lenses of social heterogeneity, complex networks, scaling, circular causality, and information.

Though the idea that cities are complex adaptive systems has become mainstream, until now those who study cities have lacked a comprehensive theoretical framework for understanding cities and urbanization, for generating useful and falsifiable predictions, and for constructing a solid body of empirical evidence so that the discipline of urban science can continue to develop. Bettencourt applies his framework to such issues as innovation and development across scales, human reasoning and strategic decision-making, patterns of settlement and mobility and their influence on socioeconomic life and resource use, inequality and inequity, biodiversity, and the challenges of sustainable development in both high- and low-income nations. It is crucial, says Bettencourt, to realize that cities are not “zero-sum games” and that knowledge, human cooperation, and collective action can build a better future.

COVID-19 is the virus that proved the fragility of the world. It took only the simplest form of life to shake the connectivity and dependency of society. This book is a real-time record and recommendation from a community of complexity scientists reacting to the pandemic. Through nontechnical articles, interviews, and discussions spanning the early days of the pandemic through the fall of 2021, researchers seek ways to stay responsive to complexity when every force conspires toward simplicity. The Complex Alternative encompasses immunology, epidemiology, psychology, inequality, and collapse. It is an effort to preserve perspective at a time when partiality seeks dominion.

Edited by David C. Krakauer and Geoffrey West, this book features the thoughts of more than sixty members of the Santa Fe Institute’s research community on the future of complexity science and the broader significance of science in the twenty-first century.

To fully understand not only the past, but also the trajectories, of human societies, we need a more dynamic view of human social systems. Agent-based modeling (ABM), which can create fine-scale models of behavior over time and space, may reveal important, general patterns of human activity. Agent-Based Modeling for Archaeology is the first ABM textbook designed for researchers studying the human past. Appropriate for scholars from archaeology, the digital humanities, and other social sciences, this book offers novices and more experienced ABM researchers a modular approach to learning ABM and using it effectively.

Readers will find the necessary background, discussion of modeling techniques and traps, references, and algorithms to use ABM in their own work. They will also find engaging examples of how other scholars have applied ABM, ranging from the study of the intercontinental migration pathways of early hominins, to the weather–crop–population cycles of the American Southwest, to the trade networks of Ancient Rome. This textbook provides the foundations needed to simulate the complexity of past human societies, offering researchers a richer understanding of the past—and likely future—of our species.

Learn more about Agent-Based Modeling for Archaeology