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Metasystem transition

Metasystem transition
A metasystem transition is the emergence, through evolution, of a higher level of organization or control. The concept of metasystem transition was introduced by the cybernetician Valentin Turchin in his 1970 book "The Phenomenon of Science", and developed among others by Francis Heylighen in the Principia Cybernetica Project. The related notion of evolutionary transition was proposed by the biologists John Maynard Smith and Eörs Szathmáry, in their 1995 book The Major Transitions in Evolution. Another related idea, that systems ("operators") evolve to become more complex by successive closures encapsulating components in a larger whole, is proposed in "The operator theory", developed by Gerard Jagers op Akkerhuis. Turchin has applied the concept of metasystem transition in the domain of computing, via the notion of metacompilation or supercompilation. Evolutionary Quanta[edit] See also[edit] References[edit]

http://en.wikipedia.org/wiki/Metasystem_transition

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How to Build a Collective Intelligence Platform to Crowdsource Almost Anything Introduction The MIT Center for Collective Intelligence recently published an important overview of the theory and mechanisms behind successful crowdsourcing efforts. Their report, called “Harnessing Crowds: Mapping the Genome of Collective Intelligence“, can be found here. Their research reveals similarities behind many high-profile collective intelligence (CI) systems, including Threadless, Wikipedia and InnoCentive. It then describes how these lesson can be applied to the design of other successful CI platforms. Simulating a Global Brain: using networks of international organizations, world problems, strategies, and values 7 July 2001 using networks of international organizations, world problems, strategies, and values Anthony Judge, Nadia McLaren, Joel Fischer and Tomas Fulopp

Community of Practice I have met Etienne Wenger in 2000 when we were working on creating the LINC (Learning International Network Consortium) with Prof. Dick Larson in MIT. He introduced his Community of Practice to us as a group and I was fascinated with it (although I just comprehended it fully!). We had a nice chat especially about my Controlling Instincts theories which, somehow, complemented his theory. I do not remember whether I felt he accepted it because I was proud of myself or he dismissed it and I chose to ignore the fact. References on the Global Brain / Superorganism Herbert Spencer The Principles of Sociology (1876-96); (see intro and excerpt, including "Society is an organism") Remarkable to note how many recently fashionable ideas about superorganisms and evolutionary integration have already been proposed by this evolutionary thinker over a century ago. Spencer coined the phrase "survival of the fittest", which was later taken over by Darwin.

The Future of Public Services; Innovations in Online Scenario Planning, Part 2 The following mini-scenarios were created using the SenseMaker Suite Scenarios approach developed for my PhD with Dave Snowden and Wendy Schultz. They were auto-aggregated using narrative fragments contributed by over 265 participants from around the world. In other words, participants submitted stories of the future, tagged them, and then the system clustered them based on affinity and representative values. These were then boiled down into these three scenarios. From start to finish (not counting R&D experimentation, process creation, etc.) this process took a little under two weeks of effort to collect the stories, aggregate and interpret them. No interviews, workshops or background research exercises were conducted.

New Governance - Bertelsmann Future Challenges From Bertelsmann Future Challenges New Governance Mechanisms and Political Decision Making Nation states are becoming increasingly incapable of creating solutions for such global challenges as demographic change, poverty-driven migration, new forms of terrorism and climate change. These developments require supranational structures and organizations like the European Union, the Association of Southeast Asian Nations (ASEAN) and the North American Free Trade Agreement (NAFTA). Establishing such structures requires nation states to transfer some of their own sovereignty to these organizations. Within individual states as well, new mechanisms of governance are being generated by policymaking's global dynamics.

Global Futures Intelligence System The Millennium Project is integrating all of its information, groups, and software into a "Global Futures Intelligence System." GFIS* is The Millennium Project’s new way for you to participate with and have access to all of our resources in one place. Those who buy a one-year subscription can interact with all the elements of the system, make suggestions, initiate discussions with experts around the world, and search through over 10,000 pages of futures research and 1,300 pages of methods. The text has built-in Google translation with 52 languages. MP Node chairs and content reviewers will have free access. Introduction to the Global Futures Intelligence System

Global Brain Workshop The First Global Brain Workshop (GBrain 0) July 3-5, 2001 Vrije Universiteit Brussel , Brussels , Belgium Important : the final program with detailed instructions and a map of the location is available at the following URLs (respectively in PDF and in Word versions, for good quality printing): The present web page was last updated on June 21, and will no longer be updated.

Paradigm In science and philosophy, a paradigm /ˈpærədaɪm/ is a distinct set of concepts or thought patterns, including theories, research methods, postulates, and standards for what constitutes legitimate contributions to a field. Etymology[edit] Paradigm comes from Greek παράδειγμα (paradeigma), "pattern, example, sample"[1] from the verb παραδείκνυμι (paradeiknumi), "exhibit, represent, expose"[2] and that from παρά (para), "beside, beyond"[3] and δείκνυμι (deiknumi), "to show, to point out".[4] In rhetoric, paradeigma is known as a type of proof.

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.

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