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归纳逻辑程序设计方法综述
引用本文:李艳娟,郭茂祖.归纳逻辑程序设计方法综述[J].电脑学习,2012,2(3):13-17,22.
作者姓名:李艳娟  郭茂祖
作者单位:1. 哈尔滨工业大学计算机科学与技术学院,哈尔滨150001;东北林业大学信息与计算机工程学院,哈尔滨150040
2. 哈尔滨工业大学计算机科学与技术学院,哈尔滨,150001
基金项目:国家自然科学基金,高等学校博士学科点专项科研基金,中国博士后科学基金特别资助
摘    要:归纳逻辑程序设计是机器学习与逻辑程序设计交叉所形成的一个研究领域,克服了传统机器学习方法的两个主要限制:即知识表示的限制和背景知识利用的限制,成为机器学习的前沿研究课题。首先从归纳逻辑程序设计的产生背景、定义、应用领域及问题背景介绍了归纳逻辑程序设计系统的概貌,对归纳逻辑程序设计方法的研究现状进行了总结和分析,最后探讨了该领域的进一步的研究方向。

关 键 词:人工智能  机器学习  逻辑程序设计  归纳逻辑程序设计  背景知识

A Review of Inductive Logic Programming Approaches
LI Yanjuan , GUO Maozu.A Review of Inductive Logic Programming Approaches[J].Computer Study,2012,2(3):13-17,22.
Authors:LI Yanjuan  GUO Maozu
Affiliation:1 School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China; 2 School of Information and Computer Engineering, North-east Forestry University, Harbin 150040, China)
Abstract:Inductive Logic Programming (ILP) is a research area at the intersection of machine learning and logic programming, which overcomes two limitations of traditional machine learning: 1)a limited knowledge representation formalism which is essentially proposition- al logic, and 2)a limited use of substantial background knowledge in the learning process. Up to now,ILP has become the front research area of machine learning. In this paper, background, definition, application domain and problem setting of ILP are introduced, the current re- search of inductive logic programming approaches is summarized and analyzed, and some vital aspects that may be conducted in the future investigations are discussed.
Keywords:Artificial Intelligence  Machine Learning  Logic Programming  Inductive Logic Programming    Background Knowledge
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