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Collaborative intelligence relates to whether prediction is defined as active, how heuristics are used, and whether analogs to developmental processes for facilitated variation enable systems to evolve non-randomly toward increased functional effectiveness.
Recent dependency network studies suggest links between collective and collaborative intelligence.
Partial correlation-based Dependency Networks, a new class of correlation-based networks have been shown to uncover hidden relationships between the nodes of the network.
Research by Dror Y. Kenett and his Ph. D. supervisor Eshel Ben-Jacob uncovered hidden information about the underlying structure of the U. S. stock market that was not present in the standard correlation networks, and published their findings in 2011.

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