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・ Collaborative Drug Discovery
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Collaborative intelligence
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Collaborative intelligence : ウィキペディア英語版
Collaborative intelligence

Collaborative intelligence characterizes multi-agent, distributed systems where each agent, human or machine, is uniquely positioned, with autonomy to contribute to a problem-solving network. Collaborative autonomy of organisms in their ecosystems makes evolution possible. Natural ecosystems, where each organism's unique signature is derived from its genetics, circumstances, behavior and position in its ecosystem, offer principles for design of next generation social networks to support collaborative intelligence, crowd-sourcing individual expertise, preferences, and unique contributions in a problem-solving process.〔Gill, Zann (2012) User-Driven Collaborative Intelligence: Social Networks as Crowdsourcing Ecosystems. ACM CHI (Computer Human Interaction). May 5–10, 2012. Austin Texas.〕
==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-anonymous multi-agent problem-solving systems. The term was used in 1999 to describe the behavior of an intelligent business ecosystem where Collaborative Intelligence, or CQ, is "the ability to build, contribute to and manage power found in networks of people." 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 networks as the foundation for next generation problem-solving ecosystems, modeled on evolutionary adaptation in nature's ecosystems.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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