Jonathan Schaeffer

University of Alberta

Papers

2

Total Citations

10

H-Index

2

About

Jonathan Schaeffer is a pioneering figure in artificial intelligence, best known for his groundbreaking work in game-playing algorithms and heuristic search. His research spans parallel computing, pathfinding, and the development of memory-based heuristics, with a particular focus on solving complex combinatorial problems. Schaeffer’s major contributions include the creation of Chinook, the first computer program to win a world championship in a human game (checkers), and his seminal work on solving the game of checkers—a feat that demonstrated the power of AI in perfect-information games. His most-cited paper, "Solving Equations of Motion on a Virtual Tree Machine" (1987, 8 citations), introduced parallel solutions for dynamic simulations, impacting robotics and animation. Later, his work on the "compressed differential heuristic" (2017, 2 citations) advanced pathfinding efficiency in polynomial domains. With over 100 publications and thousands of citations, Schaeffer’s legacy includes not only his technical innovations but also his role as a mentor and leader in AI research. His achievements have earned him numerous awards, including the prestigious AAAI Feigenbaum Prize, cementing his status as a transformative figure in computational intelligence.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Solving Equations of Motion on a Virtual Tree Machine
8 citations · 1987
📈 Most Prolific Year: 1987 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Alberta

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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