Collaborative Intelligence
Not to be confused with collective intelligence (collective intelligence).
Cooperative Intelligence features a multi-agent type distributed system where each agent, human or machine, contributes autonomously to the problem solving network.
DeepL-ed from Collaborative intelligence - Wikipedia
wisdom of crowds processes input from a large number of anonymous respondents to a quantitative question and generates better-than-average predictions.
crowdsourcing distributes microtasks to a large number of anonymous task executors.
human computation leverages the pattern recognition capabilities of anonymous human micro-tasking workers to enhance machine capabilities and enable machine learning.
Collaborative intelligence complements the above three methods, but here the task executor is not anonymous. Task executors have different skills and motivations and may perform different tasks. These non-anonymous devices and human contributors, such as tagged sensors, geo-located devices, and identified unique human contributors, drive collaborative problem solving in next-generation social networks.
Is the "non-anonymous" part important?
Collaborative vs. Collective Intelligence: what's the difference? | Mural
---
This page is auto-translated from /nishio/Collaborative Intelligence using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I'm very happy to spread my thought to non-Japanese readers.