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Aristotle: Wisdom of the Crowds: potluck feast - everyone contributes dishes
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M. Condorcet jury theorem
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W. M. Wheeler: superorganism
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Vernadsky Teilhard: noosphere
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Engelbart three people working together in this augmented mode [would] seem to be more than three times as effective in solving a complex problem as one augmented person working alone
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ant colonies, bee hives, and bird flocks
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complex problems (finding shortest paths to food, allocating tasks, or navigating long migrations) without central control. This led to the field of swarm intelligence
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Ant Colony Optimization (ACO), first proposed by Marco Dorigo
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Traveling Salesman Problem
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simple local rules ⇒ complex collective search and optimization
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Methods
- random walk
- stigmergy
- market
- longest chain rule
- conway’s game of life
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emergence
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MIT Center for Collective Intelligence Thomas Malone
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c-factor Anita Williams Woolley
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https://gixstanford.wordpress.com/wp-content/uploads/2012/11/woolley-et-al-2010.pdf
- social sensitivity of group members
- the equality in distribution of conversational turn-taking
- and the proportion of females in the group.
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between human and machine collective intelligence are blurring
