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People sometimes think that Swarm only set out to disrupt venture capital. The truth is way more exciting. Swarm is about disrupting our… 
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Human Swarming unleashes the COLLECTIVE INTELLIGENCE of groups, tapping their combined knowledge, wisdom, and intuition. To learn more, visit: ...
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Using 2,5 k boids to travel throug vector field. Every movement, beginning from the random, leaves a trail on a field and nearby boids follow. After few iter...
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A provocative new study shows that, among meerkats and other social animals, conflict yields better decisions about shared goals, such as foraging and avoiding predators. And the researchers behind the study -- in which existing scientific literature was used to create a complex model of decision-making -- think something similar to this so-called "swarm intelligence" may play out in the human realm as well.
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With the tech-enabled changes to network organizations from a hierarchical ones also comes changes in the practice of leadership.
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Enabling the collaborative commons with software which emulates living systems | Crowdfunding is a democratic way to support the fundraising needs of your community. Make a contribution today!
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Human Swarming unleashes the COLLECTIVE INTELLIGENCE of groups, tapping their combined knowledge, wisdom, and intuition. To learn more, visit: ...
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The roots of swarm intelligence are deeply embedded in the biological study of self-organized behaviors in social insects. From the routing of traffic in telecommunication networks to the design of...
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A new theory, which I found extremely interesting, is referring to Swarm intelligence(SI) defined as the collective behaviour 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 are typically made up of a population of simple agents 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 behaviour, unknown to the individual agents.
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Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) entities interacting locally with their environment cause coherent functional global patterns to emerge. SI provides a basis with which it is possible to explore collective (or distributed) problem solving without centralized control or the provision of a global model. To tackle the formation of a coherent social collective intelligence from individual behaviors, we discuss several concepts related to self-organization, stigmergy and social foraging in animals.
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