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Complex adaptive systems

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Complexity Science Knowledge Synthesis by Wanda Martin on Prezi. Chaos and Complexity in Emergency Management by Lori Hodges on Prezi. Principles of Systems Thinking (Complex Adaptive Chaos) - AgileBok.org. From AgileBok.org The practice of Systems Thinking is based on three principles: Some ways of thinking about things are more powerful than others in creating the results we want. Structure influences results (or performance). We're an important part of the structure. In some cases, Pogo's words are the best reminder: "We have met the enemy and he is us.

" What is Systems Thinking One of the major breakthroughs in understanding the complex world of organizations is the field of systems theory. The application of this theory is called systems analysis. By focusing on the entire system, consultants can attempt to identify solutions that address as many problems as possible in the system. Remember information about the open systems model? Steps in Systems Thinking The iceberg image provides an outline for the Steps in Systems Thinking Events 1.

Patterns 2. 3. There is a criitacl shortage of informative articles like this. Chaos Theory Exploring Systems Thinking with Dr. References. Ontological Coach. The assertions we bring from our past and the assesments we make in the moment come from a background of beliefs that shape the we think, feel and act. These assessments influence the moods we experience when we believe we are or are not open to change. When we feel stuck we are accepting that we are not willing to even consider a change. Our culture imposes a set of beliefs that we accept as facts which are beliefs that we are unwilling to change.

The first stage of any ontological shift in our 'way of being' requires an understanding of what it means to be human. Creating space for creativity and adaptation We need to imagine a place where new possibiities are being created all the time. "Relinquish your attachment to the known, step into the unknown, and you will step into the field of possibilities. " Discovering Possibility Space The world we inhabit is constructed in language. Using Active Language We need to include multiple perspectives when looking at any complex situation. Interactive and Visual Representations. Visualizing Complex Systems Science (CSS) One of NECSI's ongoing projects is to further the understanding, dissemination, and advancement of CSS by capturing key CSS concepts in visual models.

Below are links to a few examples of this work in progress. About the Visual Models Generalized diagrammatic models present an abstract high-level view visualizing the fundamental phenomenon common to complexity studies. Ultimately these models will be expanded to show the connections between concepts and be linked to examples of how these general concepts are manifest in disparate, specialized areas of complexity research. Because CSS is a relatively new and transdisciplinary field, an effort to define its current state will benefit from an integration of knowledge across domains into a compact generalized form - most efficiently represented by diagrammatic models. Graphics created by Marshall Clemens. What are Complex Adaptive Systems? Cause and Effect For many years scientists saw the universe as a linear place.

One where simple rules of cause and effect apply. They viewed the universe as big machine and thought that if they took the machine apart and understood the parts, then they would understand the whole. They also thought that the universe's components could be viewed as machines, believing that if we worked on the parts of these machines and made each part work better, then the whole would work better. However hard they tried to find the missing components to complete the picture they failed. Complexity Theory Gradually as scientists of all disciplines explored these phenomena a new theory emerged - complexity theory, A theory based on relationships, emergence, patterns and iterations. Complex Adaptive Systems These can be illustrated as in the following diagram. The agents in the system are all the components of that system. Properties Complex adaptive systems have many properties and the most important are, Complex Adaptive Systems - Webs of Delight. By Chris Lucas "Every society honors its live conformists and its dead troublemakers.

"Mignon McLaughlin "An important scientific innovation rarely makes its way by gradually winning over and converting its opponents... What does happen is that its opponents gradually die out and that the growing generation is familiarized with the idea from the beginning. "Max Planck, The Philosophy of Physics, 1936 Introduction In the world of yesterday the clockwork toys ruled. A mushroom cloud of change swept the Earth, mountains collapsed, rivers dried up, the cosy world of horse and sail exploded into a multi-fragmented cascade of invention. This is a vision of tomorrow, a world out of control, yet promising a level of understanding and achievement far beyond anything yet seen. Control Collapse Late in the 20th Century we began to realise that linear prediction, far from being the ubiquitous panacea of success imagined in the past, was only a simplified viewpoint applicable to relatively few systems.

Telematics-Informatics-3.pdf. Complex adaptive system. Scaling: the perversion of order. To my final post on scaling, at least for the moment as it's a big and developing subject. There is a tendency in some complexity writing to simply abandon the whole question of management to vague and idealistic statements about self-organising and natural systems. The simple fact is that choosing not to do something is as much an intentional act as to do something; sins of omission are at the same level as those of commission.

The issue is not management, but what is the focus of management. To put it simply it's all about what you can manage, and what types of things give you indicators of propensities and dispositional states. Now the question of what can be managed, and monitored, in a CAS was the subject of our recent workshop in New York for UNDP where we had development experts and a group of scientists I brought to the table. As in development, so in pre-scrum processes in Agile and to resolution of strategy conflicts in government and industry alike. Evolvability, Robustness and Resilience in Complex Adaptive Systems at macroresilience. In a previous post, I asserted that “the existence of irreducible uncertainty is sufficient to justify an evolutionary approach for any social system, whether it be an organization or a macro-economy.”

This is not a controversial statement – Nelson and Winter introduced their seminal work on evolutionary economics as follows: “Our evolutionary theory of economic change…is not an interpretation of economic reality as a reflection of supposedly constant “given data” but a scheme that may help an observer who is sufficiently knowledgeable regarding the facts of the present to see a little further through the mist that obscures the future.” In microeconomics, irreducible uncertainty implies a world of bounded rationality where many heuristics become not signs of irrationality but a rational and effective tool of decision-making. Evolvability and Robustness Defined Evolvability, Robustness and Resilience The “Invisible Foot” Entry of New Firms and the Invisible Foot Misc. 1. 2. Evolvability, Robustness and Resilience in Complex Adaptive Systems at macroresilience. Complex adaptive systems. Contemporary resource and environmental management and associated policies, including economic instruments and incentives, have to a large extent been based on steady-state views and assumptions.

Research on complex adaptive systems contests models and policies that are based on assumptions of linear dynamics, with a focus on optimal solution in the vicinity of a single equilibrium. Social-ecological adaptationRecent research has revealed that applications of such theory and world views tend to develop governance systems that invest in controlling a few selected ecosystem processes, causing loss of ecological support functions, in the urge to produce particular resources to fulfill economic or social goals in the short term.

Theories of complex adaptive systems portray systems not as deterministic, predictable and mechanistic, but as process dependent organic and self-organizing with feedbacks between multiple scales. Complexity, Causality and Why Keeping It Simple May Keep You Stupid. Many in the Scrum community take an attitude of starting with as simple a framework as possible. While I agree having too much process can be bad, having too little can be just as damaging. As Einstein once said – "Make things as simple as possible but not simpler. " Making things simpler than they should be makes things simplistic. I believe Scrum is often presented in a simplistic manner - one that has negative consequences to those using it for the first time.

This opinion is based on the patterns of challenge that are readily apparent to many adopting Scrum. In my earlier blog – Scaling Scrum – What Works – I mentioned organizations are typically at one of three different levels of complexity: The more complex a situation you are in, the more difficult the challenge of scaling.

Given the evidence that Lean-flow assists Scrum teams and that Scrum-of-Scrums is not an effective method to lead an organization to enterprise agility, why has this attitude persisted? The Bottom Line. BlYnFL3CQAAL31J. Beyond Manufacturing Metaphors: Thinking Anew, Acting Anew. File:Complex-adaptive-system.jpg. Complex adaptive system. Complex adaptive systems are special cases of complex systems. They are complex in that they are dynamic networks of interactions and relationships not aggregations of static entities. They are adaptive in that their individual and collective behaviour changes as a result of experience.[1][Need quotation to verify] Overview The term complex adaptive systems, or complexity science, is often used to describe the loosely organized academic field that has grown up around the study of such systems.

Examples of complex adaptive systems include the stock market, social insect and ant colonies, the biosphere and the ecosystem, the brain and the immune system, the cell and the developing embryo, manufacturing businesses and any human social group-based endeavour in a cultural and social system such as political parties or communities. Definitions A CAS is a complex, self-similar collection of interacting adaptive agents. John H. General properties Characteristics Evolution of complexity See also. Biology of Business: Complex Adaptive Systems. Emerald Insight | foresight | Identifying systems' new initial conditions as influence points for the future. Everything is fragmented-Complex adaptive systems at play. Current design methods need a radical rethink. We must shift from a fail-safe design to safe-fail experiments. In my keynote at the KMWorld & Intranets Conference in September (available as a podcast at cognitive-edge.com), I elaborated on that idea and introduced the science of complex adaptive systems as a key piece of underlying theory to allow us to implement and, as importantly, to scale the change.

When I talk about a system, I am not just talking about the technology aspects, but all of the human and environmental aspects. When I talk about an agent, I mean anything that acts. An agent can be an individual, but it can also be a collective identity, an idea, a myth or—more technically—an object. Most management theory is familiar with the following two systems: Ordered systems, in which there are repeating relationships between cause and effect that can be discovered by empirical observation, analysis and other investigatory techniques.

Complex adaptive leadership. Complex adaptive leadership (CAL) is a complementary approach to leadership based on a polyarchic assumption (i.e. leadership of the many by the many), rather than based on an oligarchic assumption (i.e. leadership of the many by the few). Leadership in this theory is seen as a complex dynamic involving all, rather than only a role or attribute within a hierarchy. The theory calls for skills, attributes and roles which are additional to the demands of traditional leadership.[1] The theory draws from complexity science and from complex adaptive systems theory. Origins[edit] Development[edit] The term first appeared in various articles and chapters of books between 2000 and 2010, mainly in articles concerning medical leadership (see articles by: Tatsuo I 2002,[9] Hill et al. 2007,[10] Hanah et al. 2008,[11] Avolio et al. (2008),[12] Ford 2009,[13] and Chadwick 2010[14]). References[edit] Jump up ^ Ford, Randal (2010).

External links[edit] Dave Snowden | How not to manage complexity | State of the Net 2013. Similarity between characteristics of a complex adaptive system and a wicked problem: Anecdote. Posted by Shawn Callahan - January 25, 2005Filed in Uncategorized I’ve just been reading about wicked problems and I’m struck by the similarities between the characteristics of a complex system and how Rittel and Webber defined a wicked problem back in 1973. Jeff Conklin nicely summarises wicked problems as follows: You don’t understand the problem until you have developed a solution. Indeed, there is no definitive statement of “The Problem.” And here is how I’ve roughly paraphrased Paul Cilliers description of complex systems: Complex systems have a large number of elements.The elements must interact.The interaction is fairly rich, i.e. any element in the system influences, and is influenced by quite a few other ones.The interactions are non-linear.Interactions have a short range, i.e. info is received primarily from immediate neighbours.There are loops in the interactions: positive and negative.Complex systems are usually open, i.e. they interact with their environment.

Organizations as Complex Adaptive Systems. Complexity theory: an introduction. Complex Adaptive Systems Theory. Complex adaptive system. They are complex in that they are dynamic networks of interactions, and their relationships are not aggregations of the individual static entities. They are adaptive in that the individual and collective behavior mutate and self-organize corresponding to the change-initiating micro-event or collection of events.[1][2] Overview[edit] The term complex adaptive systems, or complexity science, is often used to describe the loosely organized academic field that has grown up around the study of such systems.

Complexity science is not a single theory— it encompasses more than one theoretical framework and is highly interdisciplinary, seeking the answers to some fundamental questions about living, adaptable, changeable systems. The fields of CAS and artificial life are closely related. In both areas the principles of emergence and self-organization are very important. The study of CAS focuses on complex, emergent and macroscopic properties of the system.[3][11][12] John H. Characteristics[edit] XP2012 - Dave Snowden Keynote Part 1 of 2. XP2012 - Dave Snowden Keynote Part 2 of 2. Resilience: What is a complex systems approach?

Complex adaptive systems. Dave Snowden on Agile and Complex Adaptive Systems at APIL Meetup. What are complex adaptive systems? Pat Ebright - Complex Adaptive System Theory. TEDxRotterdam - Igor Nikolic - Complex adaptive systems.

Complexity and CAS