# Nathan Sturtevant
**Wikidata**: [Q102438350](https://www.wikidata.org/wiki/Q102438350)  
**Source**: https://4ort.xyz/entity/nathan-sturtevant

## Summary
Nathan Sturtevant is a computer scientist and university teacher known for his work in artificial intelligence, particularly in multiplayer game theory and heuristic search algorithms. He earned his PhD from the University of California, Los Angeles (UCLA) under the supervision of Richard E. Korf and has held positions at the University of Alberta, University of Denver, and BioWare.

## Biography
- Born: [Date and place not specified]
- Nationality: United States
- Education:
  - Doctor of Philosophy (PhD) in Computer Science, University of California, Los Angeles (UCLA)
  - Bachelor of Science (BSc) in Computer Science, University of California, Berkeley (1992–1996)
- Known for: Advancing heuristic search algorithms and contributions to multiplayer game theory.
- Employer(s): University of Alberta, University of Denver, BioWare
- Field(s): Artificial Intelligence, Computer Science

## Contributions
Nathan Sturtevant has made significant contributions to the field of artificial intelligence, particularly in heuristic search algorithms and multiplayer game theory. His doctoral work, supervised by Richard E. Korf, focused on improving search techniques for multiplayer games, which has applications in game design and AI decision-making. He has also published research and developed algorithms that enhance the efficiency of heuristic search, impacting areas such as game development and automated reasoning. His work has been referenced in academic papers and has influenced subsequent research in the field.

## FAQs
### Q: What is Nathan Sturtevant known for?
A: Nathan Sturtevant is known for his work in heuristic search algorithms and multiplayer game theory, particularly his doctoral research under Richard E. Korf.

### Q: Where did Nathan Sturtevant earn his PhD?
A: Nathan Sturtevant earned his PhD in Computer Science from the University of California, Los Angeles (UCLA).

### Q: What are some of Nathan Sturtevant's notable employers?
A: Nathan Sturtevant has worked at the University of Alberta, University of Denver, and BioWare.

### Q: What is Nathan Sturtevant's educational background?
A: Nathan Sturtevant holds a BSc in Computer Science from the University of California, Berkeley (1992–1996) and a PhD in Computer Science from UCLA.

### Q: What is the focus of Nathan Sturtevant's research?
A: Nathan Sturtevant's research focuses on heuristic search algorithms and multiplayer game theory, with applications in game design and AI decision-making.

## Why They Matter
Nathan Sturtevant's work in heuristic search algorithms and multiplayer game theory has had a significant impact on the field of artificial intelligence. His research has improved the efficiency of search techniques, which has applications in game development and automated reasoning. His contributions have influenced subsequent research and have been referenced in academic papers, demonstrating the lasting impact of his work. Sturtevant's expertise has also been recognized by his employment at prestigious institutions and his collaboration with notable figures in the field, such as Richard E. Korf.

## Notable For
- Developed advanced heuristic search algorithms for multiplayer games.
- Earned a PhD from UCLA under the supervision of Richard E. Korf.
- Published research on improving search techniques for game theory.
- Worked at the University of Alberta, University of Denver, and BioWare.
- Contributed to the advancement of AI decision-making in game design.

## Body
### Education and Early Career
Nathan Sturtevant earned his BSc in Computer Science from the University of California, Berkeley, between 1992 and 1996. He later pursued a PhD in Computer Science at the University of California, Los Angeles (UCLA), where he studied under Richard E. Korf. His doctoral research focused on improving heuristic search algorithms for multiplayer games, which has had significant implications for the field of artificial intelligence.

### Professional Achievements
Sturtevant has held positions at the University of Alberta, the University of Denver, and BioWare, where he has applied his expertise in heuristic search and game theory. His work has been influential in the development of more efficient search techniques, which have applications in game design and AI decision-making. His research has been published and referenced in academic papers, demonstrating the impact of his contributions to the field.

### Research and Publications
Nathan Sturtevant's research has focused on heuristic search algorithms and multiplayer game theory. His doctoral work, supervised by Richard E. Korf, has been particularly notable for its advancements in search techniques. His publications and contributions have influenced subsequent research in the field, making him a recognized figure in artificial intelligence.

### Industry and Academic Influence
Sturtevant's employment at institutions such as the University of Alberta, the University of Denver, and BioWare has allowed him to bridge the gap between academic research and industry applications. His work has had a significant impact on the development of AI-driven game design and automated reasoning systems.

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## References

1. [Source](https://webdocs.cs.ualberta.ca/~nathanst/papers/multiplayergamesthesis.pdf)
2. LinkedIn
3. Mathematics Genealogy Project