# References
Deworker protocol is impressive and complex, involving multiple layers and components to create a comprehensive AI service network. During the design process, we received inspiration from many research institutions and experts. We are grateful for their wisdom and hard work. Due to space limitations, a partial research index is attached here for community reference.
1. [Bridging Generative Networks with the Common Model of Cognition](https://arxiv.org/list/cs.AI/recent)
2. [Sparks of Artificial General Intelligence: Early...](https://arxiv.org/abs/2303.12712)
3. [From Google Gemini to OpenAI Q\* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape](https://arxiv.org/abs/2312.10868)
4. [AI Alignment: A Comprehensive Survey](https://arxiv.org/abs/2310.19852)
5. [Towards a Science of Human-AI Decision Making: A Survey of...](https://arxiv.org/abs/2112.11471)
6. [The role of Artificial Intelligence in future technology](https://www.researchgate.net/publication/342106972_The_role_of_Artificial_Intelligence_in_future_technology)
7. [AI technologies for education: Recent research & future directions](https://www.sciencedirect.com/science/article/pii/S2666920X21000199)
8. [Scientific discovery in the age of artificial intelligence](https://www.nature.com/articles/s41586-023-06221-2)
9. [The present and future of AI](https://seas.harvard.edu/news/2021/10/present-and-future-ai)
10. [Video generation models as world simulators](https://openai.com/research/)
11. [Practices for Governing Agentic AI Systems](https://openai.com/research/)
12. [Confidence-Building Measures for Artificial Intelligence: Workshop proceedings](https://openai.com/research/)
13. [Deep Learning: A Review](https://www.researchgate.net/publication/336585899_Deep_Learning_A_Review)
14. [A Survey on Transfer Learning](https://ieeexplore.ieee.org/document/5288526)
15. [Convolutional Neural Networks for Visual Recognition](https://cs231n.github.io/convolutional-networks/)
16. [6G Vision: An AI-Driven Decentralized Network and Service](https://www.semanticscholar.org/paper/6G-Vision%3A-An-AI-Driven-Decentralized-Network-and-Qiao-Huang/a7bbe3d4b346d7e308f17a8e460fa68cb16c245c)
17. [Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse](https://ieeexplore.ieee.org/abstract/document/9839452/)
18. [Web3: A comprehensive review on background](https://www.sciencedirect.com/science/article/pii/S2667345223000305)
19. [Systematic Review on Decentralised Artificial Intelligence and Its](https://ieeexplore.ieee.org/document/10100017)
20. [Decentralized AI for Edge Devices with Federated Learning in the](https://ieeexplore.ieee.org/document/10465329/)
21. [Decentralized AI-enabled Systems for Edge Computing: A Review](https://journals.sagepub.com/doi/abs/10.1177/15501477211045458)
22. [Decentralized AI for IoT: A Survey](https://link.springer.com/chapter/10.1007/978-3-030-42504-3_12)
23. [Decentralized AI: A New Frontier for Privacy](https://www.mdpi.com/2078-2489/11/3/123)
24. [Decentralized AI: Challenges and Opportunities](https://dl.acm.org/doi/10.1145/3339252)
25. [Decentralized AI Through Federated Learning](https://www.frontiersin.org/articles/10.3389/frai.2021.670812/full)
26. [A Framework for Decentralized AI](https://www.hindawi.com/journals/complexity/2021/5593408/)
27. [Decentralized AI in Healthcare: Opportunities and Challenges](https://www.sciencedirect.com/science/article/pii/S2352914820301596)
28. [Decentralized AI for Smart Cities](https://ieeexplore.ieee.org/document/9412270)
29. [Decentralized AI for Autonomous Vehicles](https://arxiv.org/abs/2010.14246)
30. [Decentralized AI in Cybersecurity: A Review](https://www.tandfonline.com/doi/abs/10.1080/19393555.2020.1827164)
31. [MorpheusAIs WhitePaper](https://github.com/MorpheusAIs/Docs/blob/main/!KEYDOCS%20README%20FIRST!/WhitePaper.md)
32. [Bittensor Structure](https://docs.bittensor.com/)
33. [Polkadot WhitePaer](https://polkadot.network/whitepaper/)
34. [Ethereum Whitepaper](https://ethereum.org/en/whitepaper/)
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.deagent.net/references.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.