Generalized nets as an instrument for description of the process of expert system construction

被引：0

作者：

Peneva, Desislava ^{[1
]}

Tasseva, Violeta ^{[1
]}

Kodogiannis, Vassilis ^{[2
]}

Sotirova, Evdokia ^{[3
]}

Atanassov, Krassimir ^{[1
]}

机构：

[1] Bulgarian Acad Sci, CLBME, Bl 105, BU-1113 Sofia, Bulgaria

[2] Univ Westminster Mechatrron Grp, HSCS, London HA1 3TP, England

[3] Prof Asen Zlatarov Univ, Burgas 8000, Bulgaria

来源：

2006 3RD INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2006年

关键词：

generalized nets; expert systems;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The development of an expert system is a parallel process, involving the cycle of knowledge acquisition and representation, programming, testing, verification and validation of results, and so on. Generalized Net models have been developed that describe the process of functioning and machine learning of expert systems. With the aid of GN, some ways for presenting the functioning and results of an ES from the type of rule-based production system are described. In this paper a reduced GN is used for process of expert system construction representation. The GN-model includes methodology for expert system development as wen as interactions between the participants in the process.

引用

页码：741 / 745

页数：5

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