Users and system adaptivity: A GSPS perspective

被引：2

作者：

Chen, ZX

机构：

[1] Department of Computer Science, University of Nebraska at Omaha, Omaha

[2] Department of Computer Science, University of Nebraska, Omaha, NE

来源：

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS | 1996年 / 24卷 / 1-2期

关键词：

general systems theory; General System Problem Solver (GSPS); inductive reasoning; system adaptivity; knowledge-based systems; user modeling; system-user duality;

D O I：

10.1080/03081079608945106

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The relationship between systems and their users is an important aspect in the study of general systems. In order to enhance their functionality, systems should be adaptive to different types of human users. In this paper, we discuss how to apply inductive reasoning techniques to achieve this goal and we use knowledge-based systems as an example to illustrate the approach. A conceptual model is described. Our approach is interpreted from the perspective of the General System Problem Solving framework.

引用

页码：33 / 42

页数：10

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