at TEDxOslo 2013
Vídeo de YouTube
Rick Falkvinge is the founder of the Swedish Pirate Party, which has representation in the European parliament and has spawned Pirate Parties in more than 60 other countries.
His interests lays in fighting for the net's core values, the ability for everybody to publish their ideas and creations, and how these industries drive us towards a Big Brother society.
Because of his successes in cost-effective management and changing policy, he has been named a Top Global Thinker by Foreign Policy magazine, as well as shortlisted as one of the world's most influential people by TIME Magazine. When not making policy, he is keynoting about cost-effective management, or exploring technical subjects in detail.
Falkvinge talks of a particular organizational model he calls 'swarm intelligence', for humans. But biologists who have studied swarms report a slightly different type of organization:
That's how swarm intelligence works: simple creatures following simple rules, each one acting on local information. No ant sees the big picture. No ant tells any other ant what to do. Some ant species may go about this with more sophistication than others. (Temnothorax albipennis, for example, can rate the quality of a potential nest site using multiple criteria.) But the bottom line, says Iain Couzin, a biologist at Oxford and Princeton Universities, is that no leadership is required. "Even complex behavior may be coordinated by relatively simple interactions," he says.
See rest of the National Geographic Article this is taken from.
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
SI systems consist typically of a population of simple agents or boids interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents. Examples in natural systems of SI include ant colonies, bird flocking, animal herding, bacterial growth, fish schooling and microbial intelligence.
The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. 'Swarm prediction' has been used in the context of forecasting problems.
In terms of basic models, it's interesting to explore how the way Falkvinge describes 'swarm intelligence' coincides with how Chaordic Organizations are designed, and what Noubel lists as the basic framework for Original Collective Intelligence.
Also note how this relates to the aims & ideal of