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Collaborative intelligence
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==Overview== Collaborative intelligence is a term used in several disciplines. In business it describes heterogeneous networks of people interacting to produce intelligent outcomes. It can also denote non-autonomous [[multi-agent system|multi-agent problem-solving systems]]. The term was used in 1999 to describe the behavior of an intelligent business "ecosystem"<ref>{{Cite book | last = Isaacs | first = William | authorlink = William Isaacs | title = Dialogue: The Art Of Thinking Together | publisher = Crown Business | year = 1999 | isbn = 978-0-385-47999-8}}</ref> where Collaborative Intelligence, or CQ, is "the ability to build, contribute to and manage power found in networks of people."<ref>{{Cite book | last = Joyce | first = Stephen | authorlink = Stephen James Joyce | title = Teaching an Anthill to Fetch: Developing Collaborative Intelligence @ Work | publisher = Crown Business | year = 2007 | isbn = 978-0-9780312-0-6 | url-access = registration | url = https://archive.org/details/teachinganthillt00step }}</ref> When the computer science community adopted the term [[collective intelligence]] and gave that term a specific technical denotation, a complementary term was needed to distinguish between anonymous homogeneity in collective prediction systems and non-anonymous heterogeneity in collaborative problem-solving systems. Anonymous collective intelligence was then complemented by collaborative intelligence, which acknowledged identity, viewing [[social network]]s as the foundation for next generation problem-solving ecosystems, modeled on [[evolutionary adaptation]] in nature's ecosystems.
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