Our Evolving Global Brain. Is the Internet evolving into a Global Brain? Pathway to the Global Brain (five part series): Part 1: Introduction to Cybernetics Part 2: Waking Up Part 3: Agriculture and Industry Part 4-5: Coming soon!
Relevant Publications: Antonov, A. 2011. Berners-Lee, T. 2000. Bingham, P.M. Bruner, E. 2007. Bostrom, N. 2004. Bostrom, N. 2005. Bostrom, N. 2005. Bostrom, N. 2006. Bostrom, N. & Yudkowsky, E. 2011. Foley, R. & Gamble, C. 2009. Goertzel, B. 2001. Goertzel, B. 2007. Hanson, R. 1998. Hanson, R. 1998. Hanson, R. 2001. From networks to hypernetworks in complex systems science. Jeffrey Johnson (Open University, UK) Abstract: Complex systems have multilevel dynamics emerging from interactions between their parts.
Networks have provided deep insights into those dynamics, but only represent relations between two things while the generality is relations between many things. Creating Internet Intelligence: Wild Computing, Distributed Digital Consciousness, and the Emerging Global Brain. 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 Paper for the First Global Brain Workshop: From Intelligent Networks to the Global Brain (3-5 July 2001, Vrije Universiteit Brussel, Brussels, Belgium ) [slide presentation as PDF] Abstract: The paper reports briefly on the ongoing process of systematic information collection and web presentation by the UIA of networks of over 30,000 international organizations, 56,000 perceived world problems, 32,000 advocated action strategies, and some 3,000 values -- resulting in a total of 800,000 hyperlinks.
These different entities constitute an interesting focal sub-system of whatever is to be understood by an emerging global brain - for which the "problems" might be understood as "neuroses", if not "tumours". 0. 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
6 mechanisms that will help create the global brain. Programing the Global Brain. Crowd Computing and The Synaptic Web. A couple of days ago David Gelernter – a known Computer Science Visionary who famously survived an attack by the Unabomber – wrote a piece on Wired called ‘The End of the Web, Search, and Computer as We Know It’.
From the page : "This emerging Synaptic Web is the beginning of a planetary intelligence. The Synaptic Web is our collective stream of consciousness, although the global brain itself is far from conscious yet. It cannot reason or think yet. The global brain is still dorment, like a baby in a womb, slowly developing its neocortex and silently observing us… Until it wakes up…" – noosquest
In it, he summarized one of his predictions around the web moving from a static document oriented web to a network of streams.
Nova Spivack, my Co-founder and CEO at Bottlenose, also wrote about this in more depth in his blog series about The Stream. I’ve been interested in the work of David Gelernter for quite some time and thought this might be a good time to revisit some of his previous predictions. Memes as mental frames and cognitive templates. Øyvind Vada (Memetor, ECCO) Abstract: Is it possible to design for desired emergence within and between agents in social systems?
Software architecture of the challenge propagation model - vveitas.SoftwareArchitecture.pdf. Publications - The Global Brain Institute. Global Brain Institute. The Global Brain Institute. The GBI uses scientific methods to better understand the global evolution towards ever-stronger connectivity between people, software and machines.
By developing concrete models of this development, we can anticipate both its promises and its perils. That would help us to steer a course towards the best possible outcome for humanity. Objectives (for more details, check our strategic objectives and activities) Assumptions We see people, machines and software systems as agents that communicate via a complex network of communication links. Challenges that cannot be fully resolved by a single agent are propagated to other agents, along the links in the network. We want to build a Planetary Nervous System. Interview with Dirk Helbing, Chair of Sociology, ETH Zürich, Switzerland Prof.Dr.
Dirk Helbing, Chair of Sociology, in particular of Modeling and Simulation, at ETH Zürich, the Swiss Federal Institute of Technology Zurich (in German: Eidgenössische Technische Hochschule Zürich), Switzerland 1. As Scientific Coordinator, you are one of the main driving forces behind FuturICT, one of Europe’s Future and Emerging Technologies (FET) Flagship Pilot research initiatives. This is one of the most ambitious, comprehensive, timely and revolutionary scientific efforts ever attempted. Humanity has invested billions to reveal the forces of nature using large particle colliders. GlobalBrainInstitute. The Social Superorganism and its Global Brain.
Welcome to Principia Cybernetica Web. Direct Interfaces into the Global Brain. Ecco29-11-13 Kopie .pdf. Foundations for a Mathematical Model of the Global Brain. Francis Heylighen (GBI,VUB) Abstract: The present talk will report on the on-going research of the Global Brain Institute with the aim of developing a mathematically founded computer simulation of the global brain, and summarize the main results up to now.
The global brain can be defined as the distributed intelligence emerging from the network of all people on this planet connected via the Internet and related technologies. The present talk proposes the foundations for a mathematical model of the self-organization of such a network towards increasing intelligence.
The assumption is that the network becomes increasingly efficient in routing the right information to the right people, so that problems and opportunities can be addressed in the most efficient way possible by coordinating the actions of many people. People are modeled as agents that try to maximize their benefit by processing the challenges (problems and/or opportunities) they encounter. References: The Global Brain FAQ. Simulating the Global Brain with MATLAB.
Evo Busseniers (GBI VUB) Abstract: This talk will present a computer simulation, done with Matlab, of the challenge propagation model.
This model was presented last week by Francis Heylighen in this series. The basic idea is that you have a network of agents which propagate challenges to each other and try to relax them. The financial market as an algorithmic “global brain” – a view from the field of market impact modeling. Henri Waelbroeck Institutions execute large trades over time by slicing them into small pieces that can be digested by electronic markets. The market sets a fair price to provide the liquidity at which each slice can be filled; each slice moving the price a little bit. Over time these liquidity-driven price moves can accrue to become quite large. Understanding market impact of large trades is important for those providing liquidity, but also for the returns of pension funds and to estimate the liquidation values of portfolios with large holdings.
For many years Kyle’s well-established impact theory predicted that market impact per share should grow linearly with the trade size, yet practitioners observe that impact appears to be a square root function. Ben Goertzel: General Artificial Intelligence and the Global Brain. General Artificial Intelligence and the Global Brain. Abstracts of presentations-Global Brain Workshop. The following are the abstracts of presentations that have been made at the Global Brain Workshop, which was organized in July 2001 at the Free University of Brussels by the Global Brain Group (presently: the Global Brain Institute).
Program Tue, July 3 Discussion: what is the GB and how does it evolve? 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): Wild Computing: World Wide Brain: 1. Introduction Over the next decade or two, we will see the evolution of the Net into a full-fledged, largely autonomous, globally distributed intelligent system. And as this occurs, we will see this Internet AI network wend itself further and further into human affairs, yielding a synergetic, symbiotic global intelligent system, incorporating machine and human intelligence into a single continuum of thought, a human-digital global brain.
This sounds like science fiction, and indeed, it is closely related to several science-fictional visions of the digital future. In this chapter I will unapologetically pursue this angle, and indulge in some speculations on the future of Internet intelligence, which will seem more or less farfetched to the reader depending on their inclination and taste. My Best Interview: About Global Brain, Consciousness and AI. Cliff Joslyn. Cliff Joslyn, 2006. Cliff Joslyn (born 1963) is an American cognitive scientist, cyberneticist, and currently Chief Scientist for Knowledge Sciences at the Pacific Northwest National Laboratory in Seattle, Washington, USA.
Biography Cliff Joslyn studied at Oberlin College and received a BA in Cognitive Science Mathematics, with High Honors in Cybernetics, in 1985. In 1987 he continued at the State University of New York at Binghamton, where in 1989 he received an MS in Systems Science, and in 1994 under George Klir received a PhD in Systems Science with the thesis "Possibilistic Processes for Complex Systems Modeling". From 1994 to 1996 he was an NRC Research Associate at NASA Goddard Space Flight Center. On Novelty: learning what is emerging. Marko A. Rodriguez. Clement Vidal's official home page. The Global Brain Group. 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. Herbert G. World Brain (1938); (see also: Emerging-global-mind.pdf (Objet application/pdf)
"Global brain" Custom Search. Global brain. Wisdom_of_the_global_brain.pdf (Objet application/pdf) Cerveau global. Un article de Wikipédia, l'encyclopédie libre. Le cerveau global est le nom donné au réseau émergent intelligent formé par toutes les personnes sur la Terre, les ordinateurs et liens de communication qui les connectent ensemble. Comme un vrai cerveau, ce réseau est un système immensément complexe, auto-organisé, qui traite l'information, prend les décisions, résout les problèmes, apprend les nouvelles connexions et découvre de nouvelles idées. Il joue le rôle d'un système nerveux collectif pour l'ensemble de l'humanité.
Aucune personne, aucune organisation, aucun ordinateur ne peut contrôler ce système : ses processus de "pensées" sont distribués sur tous ses composants. Carte des différents nœuds d'Internet en février 1982 ; le réseau des réseaux était alors en phase de pré-production (beaucoup d'hôtes reliés à ARPANET utilisaient toujours NCP à cette date).
Le superorganisme global[modifier | modifier le code] Autres noms pour ce concept[modifier | modifier le code] P. A Framework for Scalable Cognition – Towards the Implementation of Global Brain Models. Version 1.2: Scalable cognition and its modeling with chemical organization theory par David R. Weinbaum sur Prezi. Scalable Cognition: A Step Towards the Global Brain. Modeling Global Control Systems: Formal Approaches to Understand What a Global Brain Could Be. Scalable Cognition Poster.pdf.