GENETIC GRAPH - REPRESENTATION FOR THE EVOLUTION OF PROCEDURAL KNOWLEDGE

被引：30

作者：

GOLDSTEIN, IP

机构：

[1] Xerox Palo Alto Research, Palo Alto, California, 94304

来源：

INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES | 1979年 / 11卷 / 01期

基金：

美国国家科学基金会;

关键词：

AI; CAI; ICAI; information processing psychology; knowledge representation; learning;

D O I：

10.1016/S0020-7373(79)80005-X

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

I shall describe a model of the evolution of rule-structured knowledge that serves as a cornerstone of our development of computer-based coaches. The key idea is a graph structure whose nodes represent rules, and whose links represent various evolutionary relationships such as generalization, correction, and refinement. I shall define this graph and describe a student simulation testbed which we are using to analyze different genetic graph formulations of the reasoning skills required to play an elementary mathematical game. © 1979, Academic Press Inc. (London) Limited. All rights reserved.

引用

页码：51 / 77

页数：27

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