Alberta games group

Isshogi won with a score of on a tiebreak ahead of YSS. More information is available at the website. May 5, Apr 4, More information is available at the forum website. Oct 25, Aug 6, Here is the tournament crosstable. July 28, Here are the complete game results. July 21, It is the third time the program has won the title.

Mona , the E-mail World Champion, did not compete. For more information, please view the game results. July 9, With perfect play, Awari is a draw. July 2, We employ a variety of techniques from many areas of computer science, including artificial intelligence, parallel processing, and algorithm analysis. Our primary goals are improvements in empirical performance, and applications to broader domains. Some of the major projects include: Game-playing programs , with the goal of playing at or above the level of the best human players.

Chinook was the first computer program to win an official World Championship in a game of skill. Sequential minimax search algorithms. This includes improvements to alpha-beta search efficiency, and new approaches to minimax search control.

Using heuristic knowledge. We are investigating new methods for discovering and using heuristic knowledge, such as data mining endgame databases for automatic feature identification and tuning of evaluation functions.

Handling imperfect information, and making decisions under conditions of uncertainty. This research includes probabilistic evaluation techniques, risk assessment, betting strategies, and opponent modeling.

Single-agent search. Robert Holte investigates fundamental principles and results in single-agent search puzzle games , some of which build on previous work by Jonathan Schaeffer and Joe Culberson. Past GAMES group research has focused on extending traditional methods to handle much more complex domains, with challenging new properties.

For example, see Andreas Junghann's Sokoban page. Parallel alpha-beta search algorithms. Recent projects in parallel search include Akihiro Kishimoto's M. Combinatorial game theory. This is a mathematical theory of games that can be analyzed as a sum of smaller independent subgames. We are implementing search algorithms that use this powerful divide-and-conquer approach for the analysis of games.

Examples include "decomposition search" and "generalized thermography", which we are applying to endgames in Go and Amazons. The area of planning is being overtaken by search-based approaches. We are applying tight algorithms for planning in single-agent search Adi Botea on standard planning benchmarks and Sokoban , and high-level planning in Go. Learning and adaptation. Many of the current research topics address learning and adaptation in games and search domains.

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