MODELING OF COMPLEX DYNAMIC-SYSTEMS

被引：8

作者：

LEITCH, RR

机构：

[1] Heriot-Watt Univ, Edinburgh, Scotl, Heriot-Watt Univ, Edinburgh, Scotl

来源：

IEE PROCEEDINGS-D CONTROL THEORY AND APPLICATIONS | 1987年 / 134卷 / 04期

关键词：

ARTIFICIAL INTELLIGENCE;

D O I：

10.1049/ip-d.1987.0041

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The role of knowledge in the modelling of complex dynamic systems is examined. It is proposed that the type of knowledge to be used should be determined by the task to be undertaken, and that the qualitative methods emerging from knowledge-based systems work complement the traditional analytical modelling techniques. The combination of these methods allows the formation of an abstraction hierarchy that provides a robust architecture for multilevel problem solving.

引用

页码：245 / 250

页数：6

共 19 条

[1]

[Anonymous], 1981, SCI ARTIFICIAL

[2]

[Anonymous], 1987, ROAD STRUCTURE

[3]

Ashby W.R., 1965, INTRO CYBERNETICS

[4]

Astrom Karl J., 1997, COMPUTER CONTROLLED, V3rd

[5] EXPERT CONTROL [J].

ASTROM, KJ ;

ANTON, JJ ;

ARZEN, KE .

AUTOMATICA, 1986, 22 (03) :277-286

[6]

Conant R.C., 1970, INT J SYST SCI, V1, P89, DOI [10.1080/00207727008920220, DOI 10.1080/00207727008920220]

[7]

DEKLEER J, 1984, ARTIF INTELL, V24, P169

[8]

DEKLEER J, 1986, ARTIF INTELL, V29

[9] QUALITATIVE PROCESS THEORY [J].

FORBUS, KD .

ARTIFICIAL INTELLIGENCE, 1984, 24 (1-3) :85-168

[10]

FRANCIS JC, 1985, IEE C PUBL, V252, P483

← 1 2 →