General game-playing programs

一般游戏程序

• 批准号: 8173-2008
• 负责人: Schaeffer, Jonathan
• 金额: $ 4.44万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=513314
• 关键词: General; game; playing; programs

For over 25 years, I have been working on applying heuristic search and knowledge techniques towards building high-performance artificial intelligence (AI) systems. I often use game-playing and puzzle-solving programs as my experimental test domains. This has led to success in numerous domains (chess, checkers, poker, sliding tile puzzles, Rubik's Cube - all yielding valuable insights). However, each program is "one of a kind", with limited carryover from domain to domain. Although some of the algorithms apply to classes of applications, each high-performance AI system represents a complete re-implementation.

25年来，我一直致力于将启发式搜索和知识技术应用于构建高性能人工智能（AI）系统。我经常使用游戏和解谜程序作为我的实验测试域。这导致了许多领域的成功（国际象棋，跳棋，扑克，滑动瓷砖拼图，魔方-所有产生有价值的见解）。然而，每个程序都是“独一无二的”，从一个域到另一个域的结转是有限的。虽然其中一些算法适用于各类应用程序，但每个高性能AI系统都代表了一个完整的重新实现。