Citations and Sources

1. Polkadot

2. Parachain Crowdloans

3. Web3 Foundation

4. Accepted Grant Applications of Web3 Foundation

5. AI-Backed Blockchain Data Startup Web3Go Raises $4M

6. AI is about to completely change how you use computers

7. Generative AI to Become a $1.3 Trillion Market by 2032, Research Finds

8. The Rise and Potential of Large Language Model-Based Agents: A Survey

9. The Rise of Autonomous AI Agents; Debundling the Market Landscape

10. The Turing Test - Alan Turing

11. Intelligent Agents: Theory and Practice

12. Deep Blue

13. A context-dependent attention system for a social robot

14. IBM Watson

15.SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

16. Attention Is All You Need

17. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

18. Understanding the Intersection of Crypto and AI

19. The Rise of Autonomous AI Agents; Debundling the Market Landscape

20. LLM Powered Autonomous Agents

21. Gnutell a peer-to-peer network protocol

22. KQML as an Agent Communication Language

23. WordNet: An electronic lexical database

24. FIPA specifications

25.Çoban, Ö., Özyer, B., & Özyer, G. T. (2015, December). A comparison of similarity metrics for sentiment analysis on Turkish Twitter feeds. In Smart City/SocialCom/SustainCom (SmartCity), 2015 IEEE International Conference on (pp. 333-338). IEEE.

26. Salton, G., Wong, A., & Yang, C.-S. (1975). A vector space model for automatic indexing. Communications of the ACM, 18(11), 613-620.

27.J. D. Abernethy and R. M. Frongillo, “A collaborative mechanism for crowdsourcing prediction problems,” in Advances in Neural Information Processing Systems 25, ser. NeurIPS ’11, 2011, pp. 2600–2608.

28.R. Hanson, “Combinatorial information market design,” Information Systems Frontiers, vol. 5, no. 1, pp. 107–119, 2003

29. Kamu Data Inc. 2020. Open Data Fabric - Protocol Specification