# Simplexity

Simplexity is an emerging theory that proposes a possible complementary relationship between complexity and simplicity. The term draws from General Systems Theory, Dialectics (philosophy) and Design. Jeffrey Kluger wrote a book about this phenomenon that describes how house plants can be more complicated than industrial plants, how a truck driver's job can be as difficult as a CEO's and why 90% of the money donated to help cure diseases are given only to the research of 10% of them (and vice versa). The term has been adopted in advertising, marketing and the manufacture of left-handed screwdrivers. Design aspects Complexity tends to rise as system elements specialize and diversify to solve specific challenges.Simple interfaces tend to improve the usability of complex systems. History of the term Like most terms, it has been shaped through dialogues and discussions, in much the same way that a camel is a horse designed by committee. Education In science References Related:  Complex SystemsComplexity and CAS

Fractal Figure 1a. The Mandelbrot set illustrates self-similarity. As the image is enlarged, the same pattern re-appears so that it is virtually impossible to determine the scale being examined. Figure 1b. The same fractal magnified six times. Figure 1c. Figure 1d. Fractals are distinguished from regular geometric figures by their fractal dimensional scaling. As mathematical equations, fractals are usually nowhere differentiable.[2][5][8] An infinite fractal curve can be conceived of as winding through space differently from an ordinary line, still being a 1-dimensional line yet having a fractal dimension indicating it also resembles a surface.[7]:48[2]:15 There is some disagreement amongst authorities about how the concept of a fractal should be formally defined. Introduction The word "fractal" often has different connotations for laypeople than mathematicians, where the layperson is more likely to be familiar with fractal art than a mathematical conception. History Figure 2.

Emergence is a revolution in human thinking | libcom.org Exploration of emergence as a tool for revolutionaries, it's use by capitalist management theory, and the tensions within that create opportunities for counterpower. A theme keeps popping up in the news of technologies, ideas, and predictions all based around theories of complex adaptive systems.[1] We hear about things like self-organizing and self-learning computer programs, hive models of military organization, cloud networks, and decentralized intelligence. Dig deeper into the scientific, industrial, and academic literature and a world begins to emerge from view, a scientific revolution under our feet. In places we comes across management theorists proclaiming the end of power as we knew it within businesses, dystopian projections of apocalypse, technoutopias of artificial life, and countless experiments of social control. What is happening here? These currents are little known of or discussed in society except in the passing references of reporters and pop scientists. References

ParadigmOfComplexity The last few decades have seen the emergence of a growing body of literature devoted to a critique of the so-called “old” or “Cartesian-Newtonian” paradigm which, in the wake of the prodigious successes of modern natural science, came to dominate the full range of authoritative intellectual discourse and its associated worldviews. Often coupled with a materialistic, and indeed atomistic, metaphysics, this paradigm has been guided by the methodological principle of reductionism. The critics of reductionism have tended to promote various forms of holism, a term which, perhaps more than any other, has served as the rallying cry for those who see themselves as creators of a “new paradigm.” At the forefront of such a challenge, and in many ways the herald of the new paradigm, is the relatively new movement of transpersonal psychology. In taking seriously such experiences, transpersonal theory has been compelled to transcend the disciplinary boundaries of mainstream psychology. C.

The human microbiome: Me, myself, us WHAT’S a man? Or, indeed, a woman? Biologically, the answer might seem obvious. A human being is an individual who has grown from a fertilised egg which contained genes from both father and mother. A growing band of biologists, however, think this definition incomplete. They see people not just as individuals, but also as ecosystems. A healthy adult human harbours some 100 trillion bacteria in his gut alone. And it really is a system, for evolution has aligned the interests of host and bugs. That bacteria can cause disease is no revelation. A bug’s life One way to think of the microbiome is as an additional human organ, albeit a rather peculiar one. The microbiome, too, is organised. Specialised; but not monotonous. That detail is significant. This early nutritional role, moreover, is magnified throughout life. The fat of the land This role in nutrition points to one way in which an off-kilter microbiome can affect its host: what feeds a body can also overfeed or underfeed it.

Cynefin: Distinguishing between sense-making and categorisation | More Beyond I first encountered Dave Snowden and Cynefin back in 2003 when we were still working for IBM. I felt an immediate resonance when I encountered the Cynefin Centre’s Complexity and Narrative based consulting methods as I never felt comfortable with the one-size-fits-all recipe-based consulting approaches I’d had to apply. The acknowledgement of the importance of context and that Best Practices are only valid within very specific boundaries was a breath of fresh air. The Cynefin Centre produced a document with the “organising principles” or heuristics underlying their complexity-based consulting approach – I found them extremely useful, but they’ve fallen by the wayside over the years. There are 12 principles in 4 categories – I’ll unpack each in a series of posts. 1. “The classic consultancy two by two matrices are categorisation models. It’s interesting how deep our penchant for categorisation can be, for many of us it is our default way of seeing the world. Like this: Like Loading...

Complexity: It’s Not That Simple Complexity theory has been around for a generation now, but most people don’t understand it. I often read or listen to consultants, ‘experts’ and media people who proffer ludicrously simplistic ‘solutions’ to complex predicaments. Since it seems most people would prefer things to be simple, these ‘experts’ always seem to have an uncritical audience. Complexity theory argues that simple, complicated, complex and chaotic systems have fundamentally different properties, and therefore different approaches and processes are needed when dealing with issues and challenges in each of these types of systems. As the diagram above illustrates, natural systems (both social and ecological) are inherently complex. Human invention, for the most part, uses biomimicry, i.e. we attempt to manufacture, to replicate mechanically, things that appear to work in nature. Natural systems are highly effective but inefficient due to their massive redundancy (picture a tree dropping thousands of seeds).

Think Complexity by Allen B. Downey Buy this book from Amazon.com. Download this book in PDF. Read this book online. Description This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science: Data structures and algorithms: A data structure is a collection that contains data elements organized in a way that supports particular operations. This book focuses on discrete models, which include graphs, cellular automata, and agent-based models. Complexity science is an interdisciplinary field---at the intersection of mathematics, computer science and physics---that focuses on these kinds of models. Free books! This book is under the Creative Commons Attribution-NonCommercial 3.0 Unported License, which means that you are free to copy, distribute, and modify it, as long as you attribute the work and don't use it for commercial purposes. Download the LaTeX source code (with figures and a Makefile) in a zip file.

Why Managers Haven't Embraced Complexity - Richard Straub by Richard Straub | 1:00 PM May 6, 2013 Nobody would deny that the world has become more complex during the past decades. With digitization, the interconnectivity between people and things has jumped by leaps and bounds. Dense networks now define the technical, social, and economic landscape. I remember well when the idea of applying complexity science to management was first being eagerly discussed in the 1990s. Why did this interest and work in complexity not lead to major changes in management practices? Complexity wasn’t a convenient reality given managers’ desire for control. Technology was not yet powerful enough to capture much complexity. The prospect of non-human decision-making is unnerving. The eager futurists talking about machines taking over evaluation of situations and decision-making have set back their own cause, as others see them ignoring an essential fact: sense-making is always informed by values.

100 Very Cool Facts About The Human Body The Brain The human brain is the most complex and least understood part of the human anatomy. There may be a lot we don’t know, but here are a few interesting facts that we’ve got covered. Nerve impulses to and from the brain travel as fast as 170 miles per hour. Ever wonder how you can react so fast to things around you or why that stubbed toe hurts right away? Hair and Nails While they’re not a living part of your body, most people spend a good amount of time caring for their hair and nails. Facial hair grows faster than any other hair on the body. Internal Organs Though we may not give them much thought unless they’re bothering us, our internal organs are what allow us to go on eating, breathing and walking around. The largest internal organ is the small intestine. Bodily Functions We may not always like to talk about them, but everyone has to deal with bodily functions on a daily basis. Sneezes regularly exceed 100 mph. Sex and Reproduction Senses Aging and Death

Intelligent Complex Adaptive Systems I don’t believe in the existence of a complex systems theory as such and, so far, I’m still referring to complex systems science (CSS) in order to describe my research endeavours. In my view, the latter is constituted, up until now, by a bundle of loosely connected methods and theories aiming to observe— from contrasted standpoints—these fascinating objects of research called complex adaptive systems. Nearly 40 years after Von Bertalanffy’s General System Theory (1968) and Jacques Monod’s Chance and Necessity (1971), it is fair to look back and to try to assess how much remains to be said about these complex adaptive systems. After all, Prigogine’s Order out of Chaos (1984) already demonstrated that future wasn’t entirely predictable in a history- contingent world. The universe is a massive system of systems -- for example, ecological systems, social systems, commodity and stock markets.

Complexity Rising: From Human Beings to Human Civilization, a Complexity Profile Since time immemorial humans have complained that life is becoming more complex, but it is only now that we have a hope to analyze formally and verify this lament. This article analyzes the human social environment using the "complexity profile," a mathematical tool for characterizing the collective behavior of a system. The analysis is used to justify the qualitative observation that complexity of existence has increased and is increasing. The increase in complexity is directly related to sweeping changes in the structure and dynamics of human civilization—the increasing interdependence of the global economic and social system and the instabilities of dictatorships, communism and corporate hierarchies. Our complex social environment is consistent with identifying global human civilization as an organism capable of complex behavior that protects its components (us) and which should be capable of responding effectively to complex environmental demands.

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