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Related:  Global Brain InstituteA I / Robotics et al.Complexity

ChallProp: an agent-based modelling framework for simulating the Global Brain Viktoras Veitas (Global Brain Institute) Abstract: Global Brain is a cybernetic system consisting of a network of people and machines. *Challprop* (challenge propagation modelling framework) is the software framework for running these simulations and analyzing their results. In this seminar I will discuss Challprop from conceptual as well as technological point of view and present the current status and the future plans for the project. Slides of the presentation: here Video of the presentation: here References: Heylighen F.

The lead up to the Singularity nodeschool.io Functional Javascript Learn fundamental functional programming features of JavaScript in vanilla ES5. npm install -g functional-javascript-workshop Level Me Up Scotty! Learn to use leveldb, a simple key/value store with a vibrant package. npm install -g levelmeup ExpressWorks Learn the basics of the Express.js framework. npm install -g expressworks Make Me Hapi Learn all about hapi through a series of challenges. npm install -g makemehapi Promise It Won't Hurt Learn to use promises in JavaScript to handle async operations. npm install -g promise-it-wont-hurt Async You Learn to use the async package. npm install -g async-you NodeBot Workshop Make robots with the johnny-five api. npm install -g nodebot-workshop Going Native An exploration of Node.js from the underside: native C++ add-ons. npm install -g goingnative Planet Proto Understanding JavaScript Prototypes npm install -g planetproto WebGL Workshop Learn the basics of WebGL in small, manageable chunks. npm install -g webgl-workshop ESNext Generation learn-sass

GNUize them all Blueprint for a Cyborg Spoiling Agent V0.1, to be part of a Global Immune System? | Cube ReviewCube Review She speaks Japanese. Your implants translate: Akemi explains that her navigation system (formerly known as GPS) just failed. She is asking if she can connect to yours in order to find her way. You would like to accept, but your second I panics: What happened in the background of your digital integrated agents? It appears however that you did something special that she did not about you: your GNUiz agent analyzed (we say GNUized) all her nano agents. Damned! However, she is so pretty! Akemi is supposed to be one of these « augmented persons » as the corporate language of the early twenty-first century used to go. Can you imagine for a moment what would have happened if you had offered her one of the « ideal adventures for young adults » that the recommendation engine suggested a few minutes ago anticipating your encounter? This is why Akemi is so viral. Obviously Akemi needs help. That is what does GNUiz! Only a shock! Perhaps a meeting with a Sâdhu? Olivier Auber

The Hivemind Singularity - Alan Jacobs In a near-future science fiction novel, human intelligence evolves into a hivemind that makes people the violent cells of a collective being. Slime mold network formation (Science). New Model Army, a 2010 novel by the English writer Adam Roberts, concerns itself with many things: the intimacy shared by soldiers at war, the motivating powers of memory and love, the rival merits of hierarchical and anarchic social structures, the legitimacy of the polity known as Great Britain, the question of European identity. The title New Model Army derives from the English Civil War in the mid-seventeenth century, when Oliver Cromwell led armies raised by Parliament against supporters of King Charles. With this background in mind, Adam Roberts asks us to imagine a near future when electronic communications technologies enable groups of people to communicate with one another instantaneously, and on secure private networks invulnerable, or nearly so, to outside snooping.

Francis Heylighen Francis Paul Heylighen (born 1960) is a Belgian cyberneticist investigating the emergence and evolution of intelligent organization. He presently works as a research professor at the Vrije Universiteit Brussel, the Dutch-speaking Free University of Brussels, where he directs the transdisciplinary research group on "Evolution, Complexity and Cognition"[1][2] and the Global Brain Institute. He is best known for his work on the Principia Cybernetica Project, his model of the Internet as a Global brain, and his contributions to the theories of memetics and self-organization. Biography[edit] Francis Heylighen was born on September 27, 1960 in Vilvoorde, Belgium. In 1983 he started working as a researcher for the Belgian National Fund for Scientific Research (NFWO). In 1989 Valentin Turchin and Cliff Joslyn founded the Principia Cybernetica Project, and Heylighen joined a year later. Work[edit] His research focuses on the emergence and evolution of complex, intelligent organization.

OlivierAuber : @ #GlobalBrain seminar:... Infinity Point Will Arrive by 2035 Latest Eray Ozkural December 23, 2013 During writing a paper for the 100 Year Starship Symposium, I wished to convince the starship designers that they should acknowledge the dynamics of high-technology economy, which may be crucial for interstellar missions. Infinity Point was the original name for the hypothetical event when almost boundless amount of intelligence would be available in Solomonoff's original research in 1985 (1), who is also the founder of mathematical Artificial Intelligence (AI) field. The original theory arrives at the Infinity Point conclusion by making a few simple mathematical assumptions, and solving a system of equations. Computer Science (CS) community size ~ improvement in computing technologyCS community size ~ rate of log of computing efficiencyFixed amount of money is invested in AI every year To remind Moore's Law, well, it is: "number of transistors placed on a microprocessor at a fixed cost doubles every two years" as originally conceived. . References:

Complex systems Complex systems present problems both in mathematical modelling and philosophical foundations. The study of complex systems represents a new approach to science that investigates how relationships between parts give rise to the collective behaviors of a system and how the system interacts and forms relationships with its environment.[1] Such systems are used to model processes in computer science, biology,[2] economics, physics, chemistry,[3] and many other fields. The key problems of complex systems are difficulties with their formal modelling and simulation. For systems that are less usefully represented with equations various other kinds of narratives and methods for identifying, exploring, designing and interacting with complex systems are used. Overview[edit] History[edit] A history of complexity science Typical areas of study[edit] Complexity management[edit] Complexity economics[edit] Complexity and modeling[edit] Complexity and chaos theory[edit] 1. Institutes and research centers[edit]

Interversity, a concept for self-organizing distributed university Mixel Kiemen Abstract: Universities are historically seen as places of universal knowledge. Because of information overload and the acceleration of innovation, the concept of universal knowledge is becoming an illusion. Even the largest universities today only have some of knowledge. The Interversity proposes a conceptual change. Massively Online Open Courses (MOOCs) show how current academic education, which is only attainable for a happy few, can become part of Life-Long Learning, accessible for everyone, everywhere, at every moment. Slides of the talk: Interversity

The best visuals to explain the Singularity to senior executives Tomorrow morning I’m doing a presentation to the top executive team of a very large organization on the next 20 years. Most of what I will cover will be general societal, business and technological drivers as well as specific strategic issues driving their business. However as part of stretching their thinking I’ll also speak a about the Singularity. As such I’ve been trying to find one good image to introduce my explanation, however I haven’t been able to find one which is quite right for the purpose. Ray Kurzweil’s Six Epochs diagram below is great and the one I’ll probably end up using, however it is a bit too over-the-top for most senior executives. Source: Ray Kurzweil, Applied Abstractions The chart below from Hans Moravec showing how exponential growth of computing power will allow machines to match human intellectual capabilities is excellent, but it is seriously out of date. Source: Hans Moravec, When will computer hardware match the human brain? Source: Ray Kurzweil, Tropophilia

Self-organization Self-organization occurs in a variety of physical, chemical, biological, robotic, social and cognitive systems. Common examples include crystallization, the emergence of convection patterns in a liquid heated from below, chemical oscillators, swarming in groups of animals, and the way neural networks learn to recognize complex patterns. Overview[edit] The most robust and unambiguous examples[1] of self-organizing systems are from the physics of non-equilibrium processes. Self-organization is also relevant in chemistry, where it has often been taken as being synonymous with self-assembly. Self-organization usually relies on three basic ingredients:[3] Strong dynamical non-linearity, often though not necessarily involving positive and negative feedbackBalance of exploitation and explorationMultiple interactions Principles of self-organization[edit] History of the idea[edit] Sadi Carnot and Rudolf Clausius discovered the Second Law of Thermodynamics in the 19th century. Developing views[edit]

La Grammaire d’IEML Voici une vidéo qui explique en cinq minutes en français le “pourquoi” de l’invention d’IEML. Pour en savoir plus, vous pouvez écouter un podcast sur France Culture d’une quarantaine de minutes. IEML (pour Information Economy MetaLanguage) est une langue artificielle à la sémantique calculable qui n’impose aucune limite aux possibilités d’expression de nouveaux sens. Etant donné un texte en IEML, des algorithmes reconstituent le réseau grammatical et sémantique interne au texte, traduisent ce réseau en langues naturelles et calculent les relations sémantiques entre ce texte et les autres textes en IEML. Utilisé comme système de métadonnées, le métalangage IEML ouvre la voie à de nouvelles méthodes d’analyse de grandes masses de données. Cliquez ici pour obtenir La Grammaire d’IEML, avec table des matières, index et hyperliens internes. Consacré à la Grammaire d’IEML (en français), cette annexe à La sphère sémantique possède un contenu essentiellement formel et technique. Like this:

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