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Emergence. Examples of Social Networks for Learning Professionals. Paradigm shift: we live in an ex-post world. Cognitive Edge. So what are we about? March 27, 2014 · News The first of three posts with some draft content for the new web site Cognitive Edge acts as a research centre for a distributed network of independent and in house consultants. We create methods and tools together with associated training and support. Our overall philosophy is apply learning from the natural sciences to social systems. In keeping with that philosophy we seek to move on from the case-based approach that dominates social and management science, shifting to a model in which theory and practice coevolve to create... Continued… Designing our new web site March 26, 2014 · News Two of the things that irritate me at conferences are Chairpeople who run over on time and then expect the speaker to reduce their time accordingly; the other is speakers who spend time with corporate slides rather than getting on with their subject.

Continued… SAFe: the infantilism of management March 25, 2014 · Continued… The bunny of disappointment Continued… 18 truths: The long fail of complexity | IT Project Failures | Z. Enterprise systems are inherently complex, often involving many business processes, people, and organizations across a company. Given this built-in complexity, it's no surprise that failures abound; it's amazing these systems function at all. We could make these same comments about any complex, mission critical system.

For example, look no further than the space program or health care delivery. In both cases, massive complexity is connected to a need to get things right: failure means potential loss of life. To say that complicated systems are more prone to break down than simpler systems is obvious. But there are also other, more subtle truths regarding failure and complex systems. A paper copyrighted in 1998, called How Complex Systems Fail and written by an M.D., Dr. The first few items explain that catastrophic failure only occurs when multiple components break down simultaneously: 1. 2. 6. 7. 8. 12. 14.

The paper concludes with a ray of hope to those have been through the wars: 18. 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]