Games Research Area
- (Silver, 2017) ⇒ David Silver. (2017). “Technical Perspective: Solving Imperfect Information Games.” In: Communications of the ACM Journal, 60(11). doi:10.1145/3131286
- QUOTE: The study of games is as old as computer science itself. Babbage, Turing, and Shannon devised algorithms and hardware to play the game of chess. Game theory began with questions regarding optimal strategies in card games and chess, later developed into a formal system by von Neumann. Chess subsequently became the drosophila — or common fruitfly, the most studied organism in genetics — of artificial intelligence research. Early successes in chess and other games shaped the emerging field of AI: many planning algorithms first used in games became pillars of subsequent research; reinforcement learning was first developed for a checkers playing program; and the performance of game-playing programs has frequently been used to measure progress in AI.
- (Buro, 2003) ⇒ Michael Buro. (2003). “Real-time Strategy Games: A New AI Research Challenge.” In: IJCAI, pp. 1534-1535.
- (Billings et al., 1998) ⇒ Darse Billings, Denis Papp, Jonathan Schaeffer, and Duane Szafron. (1998). “Poker As a Testbed for AI Research.” In: Conference of the Canadian Society for Computational Studies of Intelligence.