There exist an increasing awareness within the scientific community for the need
to deal with the complex dimension of social systems. This paper examines three
approaches to incorporate complexity theory into the practice of social sciences. The first
approach consists of supplementing the modernist program with chaos theory. The
second one proposes a metaphoric application of complexity theory to describe social
systems. The third approach is based on Post-Normal Science. Both the first and the
second try to fit complexity theory into the paradigms used up to now in social sciences.
Although this exercise can provide some interesting methods for understanding of social
systems, it is argued that a fundamental change in the way Western society conceives
science is necessary. Complexity analysis (or synthesis) should not only consist of adding
more or different syntactical rules to the mathematical formal systems used to model the
causal relations perceived in the outside world. Rather, it should imply a generalization of
the scientific formalisms in order to include semantic relations, subjectivity, and context
dependency. Even more, this generalization should go as far as to include into the
umbrella of science a plurality of systems of knowledge in order to better understand the
multidimensionality of social systems. The legitimation of a broader spectrum of formal
systems of representation and communication of reality, will affect profoundly the
collective and individual way in which Western societies perceive the world, and the very
evolution of human beings as species.
On the Difficulties People Have in Dealing With Complexity
In On the Difficulties People Have in Dealing with Complexity (1980), Dietrich Dörner shows through computer-simulated experiments (e.g., the “Lohhausen” city model) that individuals systematically struggle with complex systems. Typical patterns include linear instead of systemic thinking, failure to understand exponential dynamics, reduced self-reflection under stress, oversimplified “reductive” explanations, and increased risk-taking. The study highlights how cognitive overload and loss of control can lead to poor decision-making and even socially destructive outcomes.
On the Logic of Failure: Thinking, Planning and Decision Making in Uncertainity and Complexity.
Unlike other living creatures, humans can adapt to uncertainty. They can form hypotheses about situations marked by uncertainty and can anticipate their actions by planning. They can expect the unexpected and take precautions against it. In numerous experiments, we have investigated the manner in which humans deal with these demands. In these experiments, we used computer simulated scenarios representing, for example, a small town, ecological or economic systems or political systems such as a Third World country. Within these computer-simulated scenarios, the subjects had to look for information, plan actions, form hypotheses, etc.
The systems view of life: A unifying vision.
Over the past thirty years, a new systemic conception of life has emerged at the forefront of science. New emphasis has been given to complexity, networks, and patterns of organisation, leading to a novel kind of ‘systemic’ thinking. This volume integrates the ideas, models, and theories underlying the systems view of life into a single coherent framework. Taking a broad sweep through history and across scientific disciplines, the authors examine the appearance of key concepts such as autopoiesis, dissipative structures, social networks, and a systemic understanding of evolution. The implications of the systems view of life for health care, management, and our global ecological and economic crises are also discussed. Written primarily for undergraduates, it is also essential reading for graduate students and researchers interested in understanding the new systemic conception of life and its implications for a broad range of professions – from economics and politics to medicine, psychology and law.
At home in the universe: The search for the laws of self-organization and complexity
We live in a world of stunning biological complexity. Molecules of all varieties join in a metabolic dance to make cells. Cells interact with cells to form organisms; organisms interact with organisms to form ecosystems, economies, societies. Where did this grand architecture come from? For more than a century, the only theory that science has offered to explain how this order arose is natural selection. As Darwin taught us, the order of the biological world evolves as natural selection sifts among random mutations for the rare, useful forms. In this view of the history of life, organisms are cobbled-together contraptions wrought by selection, the silent and opportunistic tinkerer. Science has left us as unaccountably improbable accidents against the cold, immense backdrop of space and time. Thirty years of research have convinced me that this dominant view of biology is incomplete. As I will argue in this book, natural selection is important, but it has not labored alone to craft the fine architectures of the biosphere, from cell to organism to ecosystem. Another source-self-organization-is the root source of order. The order of the biological world, I have come to believe, is not merely tinkered, but arises naturally and spontaneously because of these principles of selforganization-laws of complexity that we are just beginning to uncover and understand. The past three centuries of science have been predominantly reductionist, attempting to break complex systems into simple parts, and those parts, in turn, into simpler parts. The reductionist program has been spectacularly successful, and will continue to be so. But it has often left a vacuum: How do we use the information gleaned about the parts to build up a theory of the whole? The deep difficulty here lies in the fact that the complex whole may exhibit properties that are not readily explained by understanding the parts. The complex whole, in a completely nonmystical sense, can often exhibit collective properti
Systems Theory, Complexity Theory, and Radical Emergence
Systems theory, complexity theory, and emergence help biologists to understand the evolution of radical
novelty. Together they stretch traditional conceptions of science. This working group begins with the groundbreaking
contributions of Stuart Kauffman, who will be present. We examine these important resources in the biological sciences and
the new vision of the biosphere that they are producing.
Prof. Peter Kruse on Creativity – How It Is Suppressed and How It Emerges Description:
In this interview excerpt, Peter Kruse explains why creativity and innovation cannot be directly produced or commanded. Instead, he frames creativity as an emergent phenomenon that arises from specific systemic conditions rather than from individual effort or top-down control.
A core argument of the talk is the distinction between direct and indirect variables: culture, creativity, and innovation are indirect variables that cannot be managed through projects or instructions. They only emerge when appropriate enabling environments are created. According to Kruse, key enabling factors include diversity, internal tension, networks, and non-linear feedback loops. Systems that are overly harmonious and uniform tend to be stable but unintelligent, whereas systems that allow contradiction, disturbance, and difference can enter unstable phases where new patterns—and thus creativity—can emerge.
Drawing on systems theory, neuroscience, and swarm intelligence, Kruse argues that complex, dynamic problems can only be addressed by systems with an equivalent level of complexity (referencing Ashby’s Law of Requisite Variety). He highlights the importance of networking as a way to increase complexity and collective intelligence.
In the final part, Kruse describes three key roles within creative networks—Creators, Owners, and Brokers—and compares their interaction to functional components of the human brain. When these roles are effectively connected, the collective intelligence of the system exceeds the sum of individual intelligences.
The video offers a profound systems-theoretical perspective on creativity, innovation, organizational design, and collective intelligence, making it highly relevant for leadership, management, transformation processes, and social change.
Zubizarreta-Ada, Rosa
Rosa is currently a Senior Fellow at the Research Institute for Sustainability. The larger vision that calls her, is a world where humanity has developed immunity to divide-and-conquer tactics, through widepread literacy in “the Listening Arts”, including mediation, facilitation, conflict de-escalation, and conflict transformation. She sees a strong synergy between developing wide-spread lay communities of practice in these areas, and also, honoring the work and ongoing learning of professional practitioners.
Grand Theory of Societal Advancement
Grand Theory of Societal Advancement
A comprehensive theory, a historic echo of our first version of civilization formed from the Neolithic package of upgrades. Comprised of specialized works from a broad spectrum of fields of study and independent researchers. The overarching goal of GTSA is to provide humanity with the necessary tools and systems for enhanced global cooperation, innovation, and unity, particularly in navigating the challenges of the 21st century and the Anthropocene. The Anthropocene is a major adaptation in our evolutionary journey of civilization:
a. Civilization 1.0: Marked by the stability and developments of the Neolithic Package, representing the dawn of structured human society.
b. The Industrial Age: Characterized by significant technological and industrial advancements.
c. The Great Acceleration: A period of rapid development with both benefits and challenges, marking a significant leap in human capability and impact.
d. Civilization 1.95: Defined by persistent crises, highlighting the need for a significant shift in societal management.
e. Civilization 2.0: The ultimate goal of GTSA, aiming for enhanced societal functioning and problem-solving.