# Michael P. Wellman

> American computer scientist

**Wikidata**: [Q6835277](https://www.wikidata.org/wiki/Q6835277)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Michael_Wellman)  
**Source**: https://4ort.xyz/entity/michael-p-wellman

## Summary
Michael P. Wellman is an American computer scientist known for his work in decision theory, multiagent systems, and computational economics. He is a professor at the University of Michigan and has contributed to foundational research in artificial intelligence, particularly in qualitative probabilistic reasoning and electronic commerce. Wellman is also an AAAI and ACM Fellow, reflecting his significant impact on the field.

## Biography
- Born: March 27, 1961, Brooklyn, New York
- Nationality: United States
- Education: Ph.D. in Computer Science from Massachusetts Institute of Technology (MIT) in 1988, advised by Peter Szolovits
- Known for: Pioneering work in decision theory, multiagent systems, and computational economics
- Employer(s): University of Michigan (Professor, since 1992)
- Field(s): Artificial Intelligence, Decision Theory, Multiagent Systems, Computational Economics

## Contributions
Michael P. Wellman has made significant contributions to artificial intelligence, particularly in decision theory, qualitative probabilistic reasoning, and multiagent systems. He co-founded the Journal of Artificial Intelligence Research and has published extensively on topics such as electronic commerce, planning, and strategic reasoning. Wellman’s work has influenced the development of decision-making frameworks in AI, including qualitative probabilistic networks and utilitarian reasoning. His research has also shaped the field of computational economics, contributing to the understanding of strategic interactions in electronic markets. Wellman has advised numerous doctoral students and served as a key figure in advancing AI research at the University of Michigan.

## FAQs
### Q: What is Michael P. Wellman known for?
A: Michael P. Wellman is known for his work in decision theory, qualitative probabilistic reasoning, multiagent systems, and computational economics. He is a professor at the University of Michigan and has co-founded the Journal of Artificial Intelligence Research.

### Q: Where did Michael P. Wellman earn his Ph.D.?
A: Michael P. Wellman earned his Ph.D. in Computer Science from the Massachusetts Institute of Technology (MIT) in 1988, advised by Peter Szolovits.

### Q: What awards has Michael P. Wellman received?
A: Michael P. Wellman has been recognized as an AAAI Fellow (2001) and an ACM Fellow (2005) for his significant contributions to artificial intelligence and computer science.

### Q: What is Michael P. Wellman's current position?
A: Michael P. Wellman is a professor at the University of Michigan, where he has been employed since 1992.

### Q: What is the Journal of Artificial Intelligence Research?
A: The Journal of Artificial Intelligence Research is a peer-reviewed academic journal co-founded by Michael P. Wellman, focusing on the publication of high-quality research in artificial intelligence.

## Why They Matter
Michael P. Wellman’s work has had a profound impact on the field of artificial intelligence, particularly in decision theory and multiagent systems. His research has shaped the development of qualitative probabilistic networks and utilitarian reasoning, which are foundational to modern AI decision-making frameworks. Wellman’s contributions to computational economics and electronic commerce have influenced the design of strategic interactions in digital markets. As an AAAI and ACM Fellow, his work has been recognized as significant by the broader AI community. Wellman’s mentorship of doctoral students and his leadership in advancing AI research at the University of Michigan have further cemented his legacy in the field.

## Notable For
- Co-founder of the Journal of Artificial Intelligence Research
- AAAI Fellow (2001) for significant contributions to decision theory and AI
- ACM Fellow (2005) for work in qualitative probabilistic reasoning and electronic commerce
- Professor at the University of Michigan since 1992
- Advisor to numerous doctoral students in AI and computer science

## Body
### Early Life and Education
Michael P. Wellman was born on March 27, 1961, in Brooklyn, New York. He earned his Ph.D. in Computer Science from the Massachusetts Institute of Technology (MIT) in 1988, advised by Peter Szolovits. His doctoral work laid the groundwork for his subsequent research in decision theory and qualitative probabilistic reasoning.

### Academic Career
Wellman joined the faculty of the University of Michigan in 1992, where he has since held the position of professor. His research has focused on decision theory, multiagent systems, and computational economics. He has co-founded the Journal of Artificial Intelligence Research, which has become a leading venue for AI research.

### Research Contributions
Wellman’s research has had a significant impact on the field of artificial intelligence. His work on qualitative probabilistic networks and utilitarian reasoning has been widely cited and has influenced the development of decision-making frameworks in AI. He has also contributed to the field of computational economics, particularly in the area of electronic commerce, where his research has shaped the understanding of strategic interactions in digital markets.

### Awards and Recognition
Wellman has been recognized for his contributions to AI and computer science through numerous awards and fellowships. He was named an AAAI Fellow in 2001 for his significant contributions to decision theory and qualitative probabilistic reasoning. He was also elected an ACM Fellow in 2005 for his work in electronic commerce and qualitative probabilistic reasoning.

### Mentorship and Legacy
Wellman has advised numerous doctoral students, including Yevgeniy Vorobeychik and David M. Pennock, who have gone on to make significant contributions to AI and computer science. His mentorship and leadership have had a lasting impact on the field, and his work continues to influence research in decision theory, multiagent systems, and computational economics.

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## References

1. [Source](http://strategicreasoning.org/michael-p-wellman/)
2. Google Scholar
3. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/)
4. [Source](https://awards.acm.org/fellows/award-recipients)
5. Mathematics Genealogy Project
6. Virtual International Authority File
7. CiNii
8. CiNii Research
9. Semantic Scholar
10. Open Library
11. The Academic Family Tree
12. BabelNet
13. Goodreads
14. RERO
15. ResearchGate
16. Microsoft Academic
17. LibraryThing