Case-based reasoning for making decisions in dynamic game environments

在动态游戏环境中做出决策的基于案例的推理

• 批准号: 315794-2009
• 负责人: Lamontagne, Luc
• 金额: $ 1.38万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=526665
• 关键词: Case; based; reasoning; making; decisions

In this research project, I will investigate how Case-Based Reasoning (CBR) techniques can contribute to the development of decision modules for dynamic game environments. My objectives are a) to determine the potential benefits of using CBR techniques for capturing and reusing game episodes, b) to study how CBR techniques can contribute to the development of interesting and efficient game AI decision schemes, and c) to address technical limitations of current CBR techniques to make them more suitable for dynamic and uncertain environments like real-time games.

在这个研究项目中，我将研究基于案例的推理（CBR）技术如何有助于动态游戏环境的决策模块的开发。我的目标是a）确定使用CBR技术捕获和重用游戏情节的潜在好处，B）研究CBR技术如何有助于开发有趣和高效的游戏AI决策方案，以及c）解决当前CBR技术的技术局限性，使其更适合于动态和不确定的环境，如实时游戏。