Abstract
Although blockchain intelligence has great potential to further improve existing blockchain systems, there are open research directions in this emerging area. In this chapter, we discuss the open issues of blockchain intelligence from aspects such as federated learning on blockchain, collective intelligence bestowing blockchain, and artificial intelligence to enhance blockchain automation.
| Original language | English |
|---|---|
| Title of host publication | Blockchain Intelligence |
| Subtitle of host publication | Methods, Applications and Challenges |
| Editors | Zibin Zheng, Hong-Ning Dai, Jiajing Wu |
| Place of Publication | Singapore |
| Publisher | Springer Singapore |
| Chapter | 7 |
| Pages | 159-166 |
| Number of pages | 8 |
| ISBN (Electronic) | 9789811601279 |
| ISBN (Print) | 9789811601262, 9789811601293 |
| DOIs | |
| Publication status | Published - 31 May 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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