Papers

3

Total Citations

28

H-Index

3

About

Daqi Dong is a researcher at the forefront of cognitive architecture and artificial intelligence, with a primary focus on modeling human-like action execution and conscious processing in autonomous agents. His major contribution lies in the development of the Sensory Motor System (SMS), a novel module for the Learning Intelligent Distribution Agent (LIDA) cognitive architecture. This system models how software agents and robots execute goal-directed actions in the real world, bridging the gap between high-level cognitive decisions and physical behavior. His 2015 paper on the SMS has garnered 15 citations, establishing a foundation for embodied cognition in AI. More recently, Dong has explored the frontier of machine consciousness, as seen in his 2023 work on enabling autonomous agents to share their "minds" and describe their conscious contents. This research pushes the boundaries of explainable AI and self-aware systems. With a career spanning from foundational cognitive modeling to cutting-edge consciousness studies, Dong’s work is essential reading for anyone interested in how artificial minds can perceive, act, and potentially reflect on their own experiences.

Research Focus

Key Achievements

3
H-Index
3
Papers
28
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A New Action Execution Module for the Learning Intelligent Distribution Agent (LIDA): The Sensory Motor System
15 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Institute of Technology of Cambodia, University of Memphis

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago