定性仿真与人工智能的关系及计算机化解法体系  

Relationship of Qualitative Simulation and Artificial Intelligence and Computational Method System

作　　者：吴重光[1] 夏迎春[1] 纳永良[1] 张卫华[1] 张贝克[1] 

机构地区：[1]北京化工大学信息科学与技术学院,北京100029

出　　处：《系统仿真学报》2010年第2期306-312,共7页Journal of System Simulation

摘　　要：定性仿真是采用定性推理方法建立和求解定性代数方程或定性微分方程模型,得到被仿真对象的定性行为和展望的预测过程。定性仿真(QSIM)和基于深层知识的人工智能技术,在其核心内容上看是属于同一科学领域。图论方法是求解复杂定量或定性仿真模型的实用且有效的计算机化方法。提出了有关定量和定性仿真计算机化的解法体系,给出了一种计算机求解实例。Qualitative simulation can be defmed as the technique of establishing and evaluating the qualitative algebraic equations or qualitative differential equations, and obtaining envision and qualitative behavior. So, qualitative simulation and the deep knowledge based artificial intelligence can be considered as the same scientific domain. Graph theory is the practical and effective computational method for complex qualitative and quantitative simulation mathematical models. A systemic computational methods and an example were given.

关 键 词：定性仿真 人工智能 定量仿真 计算机化解法 图论 定性推理 SDG SFG 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]