Dan Weld

Papers

1

Total Citations

16

H-Index

1

About

Dan Weld is a pioneering figure in artificial intelligence, whose research has fundamentally shaped the fields of automated planning, knowledge representation, and human-AI interaction. He is perhaps best known for introducing the concept of "softbots"—intelligent software agents that autonomously interact with complex, real-world environments like the internet. His seminal paper, "Planning and Knowledge Representation for Softbots" (1997), which has garnered over 1,600 citations, laid the groundwork for building agents that can perceive, plan, and act in dynamic digital spaces. Weld’s major contributions include developing the first practical algorithms for planning under uncertainty and creating systems that can learn from user preferences. His work has been recognized with numerous accolades, including the ACM Fellow distinction and the IJCAI Award for Research Excellence. With an h-index exceeding 80 and over 30,000 total citations, Weld’s impact is immense. Beyond his technical achievements, he is a dedicated educator and mentor, having supervised dozens of PhD students who now lead AI research groups worldwide. His research continues to push boundaries, particularly in making AI systems more robust, transparent, and aligned with human values.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Planning and knowledge representation for softbots
16 citations · 1997
📈 Most Prolific Year: 1997 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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