..."a self-organizing hierarchical system of pattern recognizers"...RK Oct 16
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 .
Vision Here at OpenCog, we're creating an open source Artificial General Intelligence framework, intended to one day express general intelligence at the human level and beyond. That is: We're undertaking a serious effort aimed at building a thinking machine. OpenCog
Perfection Game The Perfection Game protocol will support you in your desire to aggregate the best ideas. Use it whenever you desire to improve something you’ve created. Steps Perfectee performs an act or presents an object for perfection, optionally saying “Begin” and “End” to notify the Perfector of the start and end of the performance.
From Gamification to Intelligence Amplification to The Singularity “Moore’s law became obsolete as far as graphics were concerned. Moore’s law was doubling. It was accelerating so fast that NVida started calling it Moore’s law cubed. ”
Les traîtres à la cause Internet devait nous aider à changer le monde, vite. Il le fera sur le long terme parce qu’il impose une structure horizontale au vieux modèle hiérarchique, mais la transition sera plus douloureuse qu’espérée, parce que les promoteurs d’Internet eux-mêmes ont failli. Souvent les startupers commencent en libre et finissent en propriétaire. Exemple, parmi une multitude, MakerBot et ses imprimantes 3D . Le don, le partage, le libre, c’est bien tant qu’on ne gagne pas une tune, ou qu’on la pique à ceux qui en gagnent.
Rémunérer les amateurs pour valoriser les externalités positives Il y a quelques jours, Rue89 a publié un entretien avec Bernard Stiegler, directeur de l’IRI (Institut de Recherche et d’Innovation), intitulé « Nous entrons dans l’ère du travail contributif « . Ce texte est particulièrement intéressant dans la manière dont il jette des ponts entre les transformations du monde du travail, sous l’effet du développement des pratiques collaboratives ; le modèle de l’Open Source et des logiciels libres appliqués à d’autres secteurs de l’économie ; la place croissante des travailleurs indépendants et le rôle concomitant des espaces de co-working et d’innovation (FabLabs, HackerSpaces, etc) ou encore la mutation des simples consommateurs en contributeurs actifs. bees. Par Kokogiak. CC-BY. Source : Flickr.
American Society for Cybernetics - Index
In systems composed of coupled oscillating elements the saddle points form a network. The above networks belong to a system of five elements. The saddle points are depicted as points. Every saddle point is connected to four others: two of these connections lead to the particular saddle point, two others away from it. Computing in the net of possibilities
Autopoiesis is the word! I have introduced the theory of living systems developed by Maturana and Varela (technically known as autopoiesis ) in previous articles . In essence these two mould-breaking Chilean biologists argued that a living system should not be defined in terms of its attributes (e.g. growth or reproduction) which ran counter to the common practice of the time. Maturana and Varela wanted to define living systems in a more philosophically independent way by suggesting that a living system is one "whose only products are itself" - which is actually massively profound if you think about it. They went on to suggest that there are 4 key aspects of such a living system represented graphically in the symbol above: The 4 components of a "living system" Why you should apply Living Systems Theory to Social Network Design
A Collaborative Innovation Network , or CoIN, is a social construct used to describe innovative teams [ clarification needed ] . It has been defined by the originator of the term, Peter Gloor (a Research Scientist at MIT Sloan's Center for Collective Intelligence ) as "a cyberteam of self-motivated people with a collective vision, enabled by the Web to collaborate in achieving a common goal by sharing ideas, information, and work." COINs feature internal transparency and direct communication. Members of a COIN collaborate and share knowledge directly with each other, rather than through hierarchies. Collaborative innovation network
Multi, Inter, Transdisciplinarity...
NeuroEvolution of Augmenting Topologies ( NEAT ) is a genetic algorithm for the generation of evolving artificial neural networks (a neuroevolution technique) developed by Ken Stanley in 2002 while at The University of Texas at Austin . It alters both the weighting parameters and structures of networks, attempting to find a balance between the fitness of evolved solutions and their diversity. It is based on applying three key techniques: tracking genes with history markers to allow crossover among topologies, applying speciation (the evolution of species) to preserve innovations, and developing topologies incrementally from simple initial structures ("complexifying"). [ edit ] Performance Neuroevolution of augmenting topologies
HyperNEAT User's Page
How to Create a Mind - Homepage
GAC_PerspectivesHyperconnectedWorld_ExecutiveSummary_2013.pdf (Objet application/pdf)
This talk explores when to start performance testing, how to avoid the common pitfalls, how to profile when the results cause your team to pull a funny face, and what you can do about that funny face. Martin Thompson Mar 29, 2013 , This talk investigate WebSocket and how trading systems can be designed to leverage this new web protocol for reliability,security and performance for desktop,mobile,datacenter and cloud environments. Frank Greco Mar 29, 2013 Searching Without Objectives
The Archive is a Campsite I help run a site, Longform, that collects great non-fiction, past and present. Every day, we post links to four pieces, emphasizing evergreen interest over current events. The articles come from magazines well-known and obscure—it’s a straightforward project that serves audiences simply looking for something to read. Some of the picks are newly published, others decades old, as relying on the entire corpus of articles available online provides a deeper well from which to recommend. Magazine editors occasionally ask us about trends we see, and what gets clicked. We find that articles on sex and crime overperform, while those on politics or the media seem to lag.
Mobilizing Knowledge through Complex Systems
World Summit on the Information Society
Meta-Optimizing Semantic Evolutionary Search - OpenCog Meta-optimizing semantic evolutionary search (MOSES) is a new approach to program evolution, based on representation-building and probabilistic modeling. MOSES has been successfully applied to solve hard problems in domains such as computational biology, sentiment evaluation, and agent control. Results tend to be more accurate, and require less objective function evaluations, than other program evolution systems, such as genetic programming or evolutionary programming .
EndlessForms.com - Design objects with evolution and 3D print them!
Co Intel Tool Box...
6 thinking hats