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3D representation of a living cell during the process of mitosis, example of an autopoietic system. The original definition can be found in Autopoiesis and Cognition: the Realization of the Living (1st edition 1973, 2nd 1980): Page 78: - An autopoietic machine is a machine organized (defined as a unity) as a network of processes of production (transformation and destruction) of components which: (i) through their interactions and transformations continuously regenerate and realize the network of processes (relations) that produced them; and (ii) constitute it (the machine) as a concrete unity in space in which they (the components) exist by specifying the topological domain of its realization as such a network. [1] Page 89:- [...] the space defined by an autopoietic system is self-contained and cannot be described by using dimensions that define another space. Meaning[edit] Criticism[edit] See also[edit] Notes and references[edit] Further reading[edit] External links[edit]

Related:  AUTOPOIESISBiologie / chimieComplexityGeneral Science

Self-replicating machine A simple form of machine self-replication A self-replicating machine is a construct that can autonomously reproduce itself from raw environmental materials, thus exhibiting self-replication in a way analogous to that found in nature. The concept of self-replicating machines has been advanced and examined by Homer Jacobsen, Edward F. Moore, Freeman Dyson, John von Neumann and in more recent times by K. Eric Drexler in his book on nanotechnology, Engines of Creation and by Robert Freitas and Ralph Merkle in their review Kinematic Self-Replicating Machines[1] which provided the first comprehensive analysis of the entire replicator design space. The future development of this technology has underlain several plans involving the mining of moons and asteroid belts for ore and other materials, the creation of lunar factories, and even the construction of solar power satellites in space.

Communicating Complexity Complex things are hard to communicate. But it’s nevertheless important to do it. Here are some of my reflections on how to communicate futures thinking or foresight – the rather complex field I’m working in. You might find some advice on how to communicate the complexities of your field. Ibis The ibises (collective plural ibis;[1] classical plurals ibides[2][3] and ibes[3]) are a group of long-legged wading birds in the family Threskiornithidae. They all have long, down-curved bills, and usually feed as a group, probing mud for food items, usually crustaceans. Most species nest in trees, often with spoonbills or herons. The word ibis comes from Latin ibis[4] from Greek ἴβις ibis from Egyptian hb, hīb.[5] Species in taxonomic order[edit] There are 28 extant species and 2 extinct species of ibis.

Butterfly effect In chaos theory, the butterfly effect is the sensitive dependency on initial conditions in which a small change at one place in a deterministic nonlinear system can result in large differences in a later state. The name of the effect, coined by Edward Lorenz, is derived from the theoretical example of a hurricane's formation being contingent on whether or not a distant butterfly had flapped its wings several weeks earlier. Although the butterfly effect may appear to be an unlikely behavior, it is exhibited by very simple systems. For example, a ball placed at the crest of a hill may roll into any surrounding valley depending on, among other things, slight differences in its initial position. History[edit] Chaos theory and the sensitive dependence on initial conditions was described in the literature in a particular case of the three-body problem by Henri Poincaré in 1890.[1] He later proposed that such phenomena could be common, for example, in meteorology.

Self-replicating spacecraft The idea of self-replicating spacecraft has been applied — in theory — to several distinct "tasks". The particular variant of this idea applied to the idea of space exploration is known as a von Neumann probe. Other variants include the Berserker and an automated terraforming seeder ship. The Intelligent Plant In 1973, a book claiming that plants were sentient beings that feel emotions, prefer classical music to rock and roll, and can respond to the unspoken thoughts of humans hundreds of miles away landed on the New York Times best-seller list for nonfiction. “The Secret Life of Plants,” by Peter Tompkins and Christopher Bird, presented a beguiling mashup of legitimate plant science, quack experiments, and mystical nature worship that captured the public imagination at a time when New Age thinking was seeping into the mainstream. The most memorable passages described the experiments of a former C.I.A. polygraph expert named Cleve Backster, who, in 1966, on a whim, hooked up a galvanometer to the leaf of a dracaena, a houseplant that he kept in his office. To his astonishment, Backster found that simply by imagining the dracaena being set on fire he could make it rouse the needle of the polygraph machine, registering a surge of electrical activity suggesting that the plant felt stress.

» Key insights from Singapore Foresight Week 2013 Roger Dennis : Serendipity Architect In 2011 the Prime Ministers office in Singapore sponsored a week of foresight conversations. This year saw the next iteration and I was invited back to the conversation. Once again there were about twenty of us from around the world that were invited, and the diversity of the conversation was only trumped by the quality.

VLF Transmitter Cutler Closeup of a few of the antenna towers of the Cutler VLF Transmitter. The Cutler VLF transmitter antenna masts as seen from across the Little Machias Bay at a distance of about 2 miles. The VLF Transmitter Cutler is the United States Navy's very low frequency (VLF) shore radio station at Cutler, Maine. Chaos theory A double rod pendulum animation showing chaotic behavior. Starting the pendulum from a slightly different initial condition would result in a completely different trajectory. The double rod pendulum is one of the simplest dynamical systems that has chaotic solutions. Chaos: When the present determines the future, but the approximate present does not approximately determine the future. Chaotic behavior can be observed in many natural systems, such as weather and climate.[6][7] This behavior can be studied through analysis of a chaotic mathematical model, or through analytical techniques such as recurrence plots and Poincaré maps. Introduction[edit]

Collective intelligence Types of collective intelligence Collective intelligence is shared or group intelligence that emerges from the collaboration, collective efforts, and competition of many individuals and appears in consensus decision making. The term appears in sociobiology, political science and in context of mass peer review and crowdsourcing applications. It may involve consensus, social capital and formalisms such as voting systems, social media and other means of quantifying mass activity. Collective IQ is a measure of collective intelligence, although it is often used interchangeably with the term collective intelligence. Collective intelligence has also been attributed to bacteria[1] and animals.[2]