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Everything about Collaborative intelligence

Collaborative intelligence is distinguished from collective intelligence in three key ways: First, in collective intelligence there is a central controller who poses the question, collects responses from a crowd of anonymous responders, and uses an algorithm to process those responses to achieve a (typically) "better than average" consensus result, whereas collaborative intelligence focuses on gathering, and valuing, diverse input. Second, in collective intelligence the responders are anonymous, whereas in collaborative intelligence, as in social networks, participants are not anonymous. Third, in collective intelligence, as in the standard model of problem-solving, there is a beginning, when the central controller broadcasts the question, and an end, when the central controller announces the "consensus" result. In collaborative intelligence there is no central controller because the process is modeled on evolution. Distributed, autonomous agents contribute and share control, as in evolution and as manifested in the generation of Wikipedia articles. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Collaborative intelligenceA 5-minute orientation
  2. Skim a recent paper: A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigourInfluential work since 2022
  3. Pick up a classic book: Preschool IQThe most-reprinted book on the subject
  4. Read the landmark paper: Collaborative swarm intelligence to estimate PV parametersCited 115 times
  5. Go sideways: Human-based computationA closely related topic
  6. Go sideways: Distributed artificial intelligenceA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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