Dynamic modelling with an integrated ecological knowledge-based system

被引：19
|
作者：
Gao, Q [1 ]
Xu, LD
Liang, N
机构：
[1] Beijing Normal Univ, Inst Resources Sci, Beijing 100875, Peoples R China
[2] Wright State Univ, Dept Management Sci & Informat Syst, Dayton, OH 45435 USA
[3] Univ Sci & Technol China, Beijing 101408, Peoples R China
[4] Univ Cent Florida, Dept Comp Sci, Orlando, FL 32816 USA
来源：
KNOWLEDGE-BASED SYSTEMS | 2001年 / 14卷 / 5-6期
关键词：
model-based reasoning; knowledge-based systems; integrated systems; mathematical modelling; grasslands; ecological systems;
D O I：
10.1016/S0950-7051(01)00107-1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Sandy grasslands ecosystems are poorly understood and too complex to permit highly successful agricultural management. Managerial decisions that depend on study of such ecosystems require a variety of knowledge sources and reasoning mechanisms. Our approach to designing an integrated knowledge-based system that provides advice concerning such ecosystems is to incorporate various reasoning paradigms. This system is based on an integration of different reasoning paradigms: rule-based reasoning, case-based reasoning, and model-based reasoning. This paper examines one of the major ecological models that has been incorporated into the model base of the system. (C) 2001 Elsevier Science BN. All rights reserved.
引用
收藏
页码：281 / 287
页数：7
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