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    Author(s): J. Wang; W.D. Potter; D. Nute; F. Maier; H. Michael Rauscher; M.J. Twery; S. Thomasma; P. Knopp
    Date: 2002
    Source: In: Crookston, Nicholas L.; Havis, Robert N., comps. 2002. Second Forest Vegetation Simulator Conference; February 12-14, 2002; Fort Collins, CO. Proc. RMRS-P-25. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 189-195
    Publication Series: Proceedings (P)
    Station: Rocky Mountain Research Station
    PDF: View PDF  (492 KB)

    Description

    An Intelligent Information System (IIS) is viewed as composed of a unified knowledge base, database, and model base. This allows an IIS to provide responses to user queries regardless of whether the query process involves a data retrieval, an inference, a computational method, a problem solving module, or some combination of these. NED-2 is a full-featured intelligent information system for the sustainable management of forestlands. It is designed to help managers plan for wildlife, ecology, water, and landscape objectives as well as timber production. FVS is one of the integrated decision support model components in NED-2. We provide the FVS simulation agent and "wrapper" that permit communication between FVS and NED-2. We are developing a meta-knowledge base. Simulation agents can use it to set up and execute external simulation models. This paper will briefly describe the NED decision process, the NED-2 architecture, and discuss the design issues explaining the integration of NED-2 and FVS.

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    Citation

    Wang, J.; Potter, W.D.; Nute, D.; Maier, F.; Rauscher, H. Michael; Twery, M.J.; Thomasma, S.; Knopp, P. 2002. An Intelligent Information System for forest management: NED/FVS integration. In: Crookston, Nicholas L.; Havis, Robert N., comps. 2002. Second Forest Vegetation Simulator Conference; February 12-14, 2002; Fort Collins, CO. Proc. RMRS-P-25. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 189-195

    Keywords

    Intelligent Information System, IIS, knowledge base, database, model base

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