DAO to HANOI via DeSci: AI Paradigm Shifts from AlphaGo to ChatGPT

【Author】 Miao, Qinghai; Zheng, Wenbo; Lv, Yisheng; Huang, Min; Ding, Wenwen; Wang, Fei-Yue

【Source】IEEE-CAA JOURNAL OF AUTOMATICA SINICA

【影响因子】7.847

【Abstract】From AlphaGo to ChatGPT, the field of AI has launched a series of remarkable achievements in recent years. Analyzing, comparing, and summarizing these achievements at the paradigm level is important for future AI innovation, but has not received sufficient attention. In this paper, we give an overview and perspective on machine learning paradigms. First, we propose a paradigm taxonomy with three levels and seven dimensions from a knowledge perspective. Accordingly, we give an overview on three basic and twelve extended learning paradigms, such as Ensemble Learning, Transfer Learning, etc., with figures in unified style. We further analyze three advanced paradigms, i.e., AlphaGo, AlphaFold and ChatGPT. Second, to enable more efficient and effective scientific discovery, we propose to build a new ecosystem that drives AI paradigm shifts through the decentralized science (DeSci) movement based on decentralized autonomous organization (DAO). To this end, we design the Hanoi framework, which integrates human factors, parallel intelligence based on a combination of artificial systems and the natural world, and the DAO to inspire AI innovations.

【Keywords】Technological innovation; Decentralized autonomous organization; Transfer learning; Ecosystems; Taxonomy; Supervised learning; Human factors; ChatGPT; decentralized science (DeSci); decentralized autonomous organization (DAO); machine learning; paradigm shift

【发表时间】2023 APR

【收录时间】2023-07-24

【文献类型】理论模型

【主题类别】

区块链应用-虚拟经济-DAO