Dynamic modelling with an integrated ecological knowledge-based system

Authors

    Authors

    Q. Gao; L. D. Xu;N. Liang

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Knowledge-Based Syst.

    Keywords

    model-based reasoning; knowledge-based systems; integrated systems; mathematical modelling; grasslands; ecological systems; Computer Science, Artificial Intelligence

    Abstract

    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.

    Journal Title

    Knowledge-Based Systems

    Volume

    14

    Issue/Number

    5-6

    Publication Date

    1-1-2001

    Document Type

    Article

    Language

    English

    First Page

    281

    Last Page

    287

    WOS Identifier

    WOS:000170329600009

    ISSN

    0950-7051

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